QBCC Modules organized by math content

Some QBCC modules fit into multiple categories. There are currently 13 unique QBCC modules listed multiple times in the following categories. 

List of Math Categories

1. Whole Numbers - 0 modules
2. Fractions and Mixed Numbers - 0 modules
3. Decimals - 0 modules
4. Ratios; Rates and Proportions - 6 modules
5. Percents - 0 modules
6. Measurements - 2 modules
7. Geometry - 0 modules
8. Concepts in Statistics - 6 modules
9. Real Numbers - 0 modules
10. Solving Equations and Inequalities - 4 modules
11. Exponents and Polynomials - 1 module
12. Factoring - 0 modules
13. Graphing - 10 modules
14. Systems of Equations and Inequalities - 0 modules
15. Rational Expressions - 0 modules
16. Radical Expressions and Quadratic Equations - 0 modules
17. Functions - 0 modules
18. Exponential and Logarithmic Functions - 1 modules
19. Trigonometry - 0 modules

 

Modules by category

1. Whole Numbers

No resources found.

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2. Fractions and Mixed Numbers

No resources found.

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3. Decimals
No resources found.

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4. Ratios; Rates and Proportions

Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.

Andrea Huntoon, John Doudna, Pallavi Bhale, Thalita Abrahão, Alys Hugo, Jennifer Lyon Adler

Version: 1.0

This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
Published on 06.2021
1.6K Views
612 Downloads
0 Adaptations
Querying databases, graphing, Ratios, data types, statistical learning, correlation, Box Plots, qbcc, health sciences education research, nutrition & food science, Understanding rates, Create graphs, Interpret graphs, interpret tables, Health Science, Concepts in Statistics, explaining statistics, using statistics, Tutorial, Introductory, Study guide, Poster, Online course, Lecture, Manual, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Extended Project, Workshop material, Promoting Engagement and Self-Efficacy, Accessibility, Open Data, Open Educational Resources (OER)

The Perfect Brew: An Activity Demonstrating Cell Counting and Hemocytometer Use

Bridgette Kirkpatrick

Version: 1.0 Adapted From: The Perfect Brew: An Activity Demonstrating Cell Counting and Hemocytometer Use v1.0

In this activity, students will explore the use of a hemocytometer for counting cells, demonstrate the relationship between the grid seen in the microscope with volume of liquid in suspension and count cells to determine concentration.
Published on 06.2021
347 Views
165 Downloads
0 Adaptations
Measurement, Ratios, microbiology, qbcc, Cellular and Molecular Biology, Understanding fractions, converting units, changing scales, measurements, Introductory, Lab, Online course, Undergraduate, Instructional Setting, Audience Level

Sizes, Scales and Specialization: Adapted to add scientific notation review

Andrea Huntoon

Version: 1.0 Adapted From: Sizes, Scales and Specialization: Using Relative Proportions and Scientific Notation to Highlight the Diversity of Cell Types v2.0

This module explores how cell size and shape varies across cell types in the human body by having students calculate relative proportions of numbers in scientific notation. The adaptation has added a review of scientific notation.
Published on 05.2021
325 Views
221 Downloads
0 Adaptations
Exponents, Ratios, Scientific Notation, cell type, qbcc, manipulate equations, Cellular and Molecular Biology, converting units, changing scales, Introductory, Undergraduate, Instructional Setting, Audience Level, Activity Length

Students examine the diversity of human cell sizes and number using scientific notation

Kimberly McClure

Version: 1.0

In this powerpoint, several of the resources from the published module 'Sizes, Scales and Specialization' are used to create a mini-module that has students examine the size and abundance of different human cell types using scientific notation.
Published on 05.2021
291 Views
83 Downloads
0 Adaptations
Exponents, Ratios, qbcc, manipulate equations, Cellular and Molecular Biology, converting units, changing scales, Introductory, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, Less than 1 hour

Sizes, Scales and Specialization: Using Relative Proportions and Scientific Notation to Highlight the Diversity of Cell Types

Heather Seitz, Jillian Marie Miller, Joseph Esquibel

Version: 2.0

This module explores how cell size and shape varies across cell types in the human body by having students calculate relative proportions of numbers in scientific notation.
Published on 04.2021
2.3K Views
316 Downloads
1 Adaptations
Exponents, Ratios, Cells, qbcc, manipulate equations, Cellular and Molecular Biology, Visual Accommodations, converting units, changing scales, Introductory, Article, Lab, Lecture, High School, Undergraduate, Publication, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, 1 Hour, More than 1 hour, Accessibility

The Perfect Brew: An Activity Demonstrating Cell Counting and Hemocytometer Use

Angela Consani, Duane Doyle, David L Jones, Bara Sarraj, Heather Seitz

Version: 1.0

In this activity, students will explore the use of a hemocytometer for counting cells, demonstrate the relationship between the grid seen in the microscope with volume of liquid in suspension and count cells to determine concentration.
Published on 09.2020
802 Views
401 Downloads
1 Adaptations
Measurement, Ratios, microbiology, qbcc, Cellular and Molecular Biology, Understanding fractions, converting units, changing scales, measurements, Introductory, Lab, Online course, Undergraduate, Instructional Setting, Audience Level

Why does Blood Flow Change? Investigating the Math of Blood Flow Dynamics

Amy Troyer, Brandi Morgante Handzlik, Mary Phillips

Version: 1.0

This collection of activities explores the relationship between blood flow, pressure, and the factors of resistance through graphs and modeling direct and inverse variation.
Published on 06.2020
735 Views
657 Downloads
0 Adaptations
quant bio, graphing, Ratios, math, assessment, college algebra, undergraduate education, physiology, Anatomy, human biology, variation, Cardiovascular physiology, Anatomy & Physiology, lab activity, OpenStax, qbcc, manipulate equations, Understanding fractions, Choosing models, Understanding rates, Estimating answers, Use elementary functions, Create graphs, Interpret graphs, Rates and Proportions, Solving Equations and Inequalities, Introductory, Lab, Undergraduate, Homework, Instructional Setting, Audience Level, Activity Length, Less than 1 hour

Why are Cells Small? Surface Area to Volume Ratio

John Howard Starnes, Christianne Baucom Nieuwsma, Jennifer Glee Buntz, Sondra Marie LoRe, Vedham Karpakakunjaram

Version: 1.0

This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
Published on 04.2020
1.1K Views
510 Downloads
0 Adaptations
introductory biology, graphing, Ratios, OpenStax, qbcc, manipulate equations, Cellular and Molecular Biology, Use elementary functions, Create graphs, Interpret graphs, Rates and Proportions, Solving Equations and Inequalities, interpret tables, Introductory, Lab, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Non-majors, Activity Length, 1 Hour, More than 1 hour

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5. Percents
No resources found.

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6. Measurements

Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data

Adam Rumpf

Version: 1.0

In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least squares to fit the model's parameters. Activities include both theoretical and conceptual work, exploring the properties of the differential equation models, as well as hands-on computational work, using spreadsheets to quickly process large amounts of data. This activity is meant as a capstone to the differential calculus portion of a typical undergraduate Calculus I course. It explores a biological application of a variety of differential calculus concepts, including: differential equations, numerical differentiation, optimization, and limits. Additional topics explored include semi-log plots and linear regression.
Published on 12.2021
329 Views
459 Downloads
0 Adaptations
modeling, data analysis, linear regression, graphing, Exponents, optimization, calculus, Interpreting Graphs, Functions, qbcc, Cellular and Molecular Biology, Choosing models, Understanding rates, Concepts in Statistics, measurements, manipulating equations, creating graphs, interpreting tables, Introductory, Lab, Online course, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

The Perfect Brew: An Activity Demonstrating Cell Counting and Hemocytometer Use

Bridgette Kirkpatrick

Version: 1.0 Adapted From: The Perfect Brew: An Activity Demonstrating Cell Counting and Hemocytometer Use v1.0

In this activity, students will explore the use of a hemocytometer for counting cells, demonstrate the relationship between the grid seen in the microscope with volume of liquid in suspension and count cells to determine concentration.
Published on 06.2021
347 Views
165 Downloads
0 Adaptations
Measurement, Ratios, microbiology, qbcc, Cellular and Molecular Biology, Understanding fractions, converting units, changing scales, measurements, Introductory, Lab, Online course, Undergraduate, Instructional Setting, Audience Level

The Perfect Brew: An Activity Demonstrating Cell Counting and Hemocytometer Use

Angela Consani, Duane Doyle, David L Jones, Bara Sarraj, Heather Seitz

Version: 1.0

In this activity, students will explore the use of a hemocytometer for counting cells, demonstrate the relationship between the grid seen in the microscope with volume of liquid in suspension and count cells to determine concentration.
Published on 09.2020
802 Views
401 Downloads
1 Adaptations
Measurement, Ratios, microbiology, qbcc, Cellular and Molecular Biology, Understanding fractions, converting units, changing scales, measurements, Introductory, Lab, Online course, Undergraduate, Instructional Setting, Audience Level

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7. Geometry
No resources found.

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8. Concepts in Statistics

Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data

Adam Rumpf

Version: 1.0

In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least squares to fit the model's parameters. Activities include both theoretical and conceptual work, exploring the properties of the differential equation models, as well as hands-on computational work, using spreadsheets to quickly process large amounts of data. This activity is meant as a capstone to the differential calculus portion of a typical undergraduate Calculus I course. It explores a biological application of a variety of differential calculus concepts, including: differential equations, numerical differentiation, optimization, and limits. Additional topics explored include semi-log plots and linear regression.
Published on 12.2021
329 Views
459 Downloads
0 Adaptations
modeling, data analysis, linear regression, graphing, Exponents, optimization, calculus, Interpreting Graphs, Functions, qbcc, Cellular and Molecular Biology, Choosing models, Understanding rates, Concepts in Statistics, measurements, manipulating equations, creating graphs, interpreting tables, Introductory, Lab, Online course, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics

Irene Corriette, Beatriz Gonzalez, Daniela Kitanska, Henriette Mozsolits, Sheela Vemu

Version: 1.0

Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The collection provides student activity files with Excel instructions and Instructor Activity files with Excel instructions and solutions to problems. Students will be able to perform linear regression analysis, find correlation coefficient, create a scatter plot and find the r-square using MS Excel 365. Students will be able to interpret data sets, describe the relationship between biological variables, and predict the value of an output variable based on the input of an predictor variable.
Published on 12.2021
1.7K Views
234 Downloads
0 Adaptations
statistics, mathematics, data analysis, data, linear regression, biology, online, graphing, linear equations, Quantitative reasoning, assessment, college algebra, cell, statistical analysis, regression, OER, Algebra, chemistry, Models, correlation, Simple Linear Regression, Microsoft Excel, lab activity, experiment, Cellular Processes, ATP, qbcc, Using Excel, manipulate equations, Cellular and Molecular Biology, Concepts in Statistics, oxidation, line of best fit, explaining statistics, using statistics, Cellular Respiration, Predictions, Respiration, graphing in Excel, Linear Correlation, Exothermic Reaction, create scatter plot, Adenosine Triphosphate (ATP), germinating peas, Pre-lab activity, Student activity, Hybrid, Collecting Data, R-square, Regression Model, Function, Dependent Variables, Independent Variables, Linear Equation, Linear Equation in two variables, create graph, create equation, create regression, create plot, interpret regression, interpret data, Introductory, Lab, Online course, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Open Access, Open Source, Open Data, Open Education, Open Educational Resources (OER), Open Educational Practices

Exploring Marine Primary Productivity with Descriptive Statistics and Graphing in Excel

Marina McLeod, Jennifer Olson, Wendy Houston

Version: 1.0

In this activity, students use real water chemistry data and descriptive statistics in Excel to examine primary productivity in an urban estuary of the Salish Sea. They will consider how actual data do or do not support expected annual trends.
Published on 09.2021
408 Views
435 Downloads
0 Adaptations
statistics, ecology, data, Excel, graphing, Biochemistry, Oceanography, marine ecosystems, marine ecology, descriptive statistics, long-term datasets, marine, Microsoft Excel, marine biology, plankton, Outliers, Marine Science, qbcc, Using Excel, phytoplankton, Create graphs, Interpret graphs, Concepts in Statistics, large dataset, explaining statistics, using statistics, Pacific Northwest, Salish Sea, primary productivity, water chemistry, estuary, graphing in Excel, formulas in Excel, chlorophyll, time-series plots, ocean, Undergraduate, Dataset, Audience Level, Raw, Cleaned, Activity Length, More than 1 hour, Accessibility, Open Data, Open Educational Resources (OER)

Using Linear Regression Adaptation: Exploring Vector-borne diseases in an online classroom

Darcy Ernst

Version: 1.0 Adapted From: Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases v1.0

In this adaptation students in online classrooms will use linear regression at home and in synchronous online time to analyze real data on vector-borne diseases and explore how environmental factors affect disease transmission.
Published on 08.2021
292 Views
481 Downloads
0 Adaptations
ecology, graphing, microbiology, qbcc, Understanding rates, Create graphs, Interpret graphs, interpret tables, Concepts in Statistics, Introductory, Lab, Online course, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors

Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

Alida Janmaat, Pete Kaslik, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo

Version: 1.0

Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards.
Published on 07.2021
461 Views
319 Downloads
0 Adaptations
statistics, mathematics, biostatistics, ecology, biology, graphing, p-values, t-tests, hypothesis testing, in-class activity, Zoology, mercury biogeochemistry, biostatistics - general, fish population, qbcc, Biogeochemical cycles, Interpret graphs, Solving Equations and Inequalities, Concepts in Statistics, Elementary Hypothesis Testing, Methylmercury, dams, Bioaccumulation, traditional diets, mercury, mercury poisoning, native people, indigenous population, Canada, hydroelectric, explaining statistics, using statistics, Introductory, Lab, Online course, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Advanced, Majors, Non-majors, Activity Length, 1 Hour, Less than 1 hour, More than 1 hour, Extended Project, Developing Self-awareness, Developing Empathy, Classroom Climate, Fostering a Sense of Belonging, Open Science, Open Education, Open Educational Resources (OER)

Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.

Andrea Huntoon, John Doudna, Pallavi Bhale, Thalita Abrahão, Alys Hugo, Jennifer Lyon Adler

Version: 1.0

This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
Published on 06.2021
1.6K Views
612 Downloads
0 Adaptations
Querying databases, graphing, Ratios, data types, statistical learning, correlation, Box Plots, qbcc, health sciences education research, nutrition & food science, Understanding rates, Create graphs, Interpret graphs, interpret tables, Health Science, Concepts in Statistics, explaining statistics, using statistics, Tutorial, Introductory, Study guide, Poster, Online course, Lecture, Manual, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Extended Project, Workshop material, Promoting Engagement and Self-Efficacy, Accessibility, Open Data, Open Educational Resources (OER)

Big Data, Graphs, and Prediction

Jennifer Lyon Adler, David Simon, Emmanuel des-Bordes, Joseph Esquibel, mary miller, Pradip Raj Aryal, Vickie Flanders

Version: 1.0

In this activity, students are introduced to graphing and modeling data in a step-wise fashion. Real data of covid-19 deaths over time are used to incrementally ask students to fit the data to several models and discuss which model fits best.
Published on 02.2021
594 Views
303 Downloads
0 Adaptations
epidemiology, graphing, Logarithms, exponential growth, qbcc, covid, Choosing models, Create graphs, Interpret graphs, Concepts in Statistics, Activity Length, More than 1 hour

Why Cells Change Weight: Demonstrating Linear Regression Through an Osmosis Experiment

Ashley Lamb Galloway, Stefanie L Holmes, Ashley Morgan, Mary Ann Sexton

Version: 1.0

In this activity, students will perform an experiment utilizing dialysis tubing to create cellular models to demonstrate the linear relationship between cell weight and time in varying tonicities. Videos and data sets (of faculty results) are provided for
Published on 02.2021
634 Views
539 Downloads
0 Adaptations
graphing, qbcc, Cellular and Molecular Biology, Interpret graphs, Concepts in Statistics, Introductory, Undergraduate, Audience Level, Majors, Non-majors, Promoting Engagement and Self-Efficacy

Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases

Andy Adams, Jessica A Adams, John J. Bray, Tami Imbierowicz, Suzanne Lenhart, Breonna Martin

Version: 1.0

In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the transmission of these diseases.
Published on 09.2020
1.6K Views
2.3K Downloads
1 Adaptations
ecology, graphing, microbiology, qbcc, Understanding rates, Create graphs, Interpret graphs, interpret tables, Concepts in Statistics, Introductory, Lab, Online course, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors

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9. Real Numbers
No resources found.

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10. Solving Equations and Inequalities

Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

Alida Janmaat, Pete Kaslik, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo

Version: 1.0

Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards.
Published on 07.2021
461 Views
319 Downloads
0 Adaptations
statistics, mathematics, biostatistics, ecology, biology, graphing, p-values, t-tests, hypothesis testing, in-class activity, Zoology, mercury biogeochemistry, biostatistics - general, fish population, qbcc, Biogeochemical cycles, Interpret graphs, Solving Equations and Inequalities, Concepts in Statistics, Elementary Hypothesis Testing, Methylmercury, dams, Bioaccumulation, traditional diets, mercury, mercury poisoning, native people, indigenous population, Canada, hydroelectric, explaining statistics, using statistics, Introductory, Lab, Online course, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Advanced, Majors, Non-majors, Activity Length, 1 Hour, Less than 1 hour, More than 1 hour, Extended Project, Developing Self-awareness, Developing Empathy, Classroom Climate, Fostering a Sense of Belonging, Open Science, Open Education, Open Educational Resources (OER)

Analysis of Amylase Activity

Allison Carter Burlyn, Christina Fieber, Melanie Lenahan

Version: 1.0

This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme activity.
Published on 11.2020
554 Views
1.9K Downloads
0 Adaptations
data analysis, introductory biology, concentration, graphing, linear equations, Biochemistry, scientific method, standard curve, enzyme function, Microsoft Excel, Interpreting Graphs, enzymes, qbcc, Create graphs, Interpret graphs, Solving Equations and Inequalities, interpret tables, Amylase, Alpha-amylase, Enzyme activity, Maltose, DNS assay, Absorbance, lab report, spectrophotometry, regression line, manipulating equations, line of best fit, graphing by hand, Introductory, Lab, Online course, High School, Undergraduate, Faculty, Instructional Setting, Audience Level, Advanced, Majors, Non-majors, Activity Length, More than 1 hour, Extended Project, Promoting Engagement and Self-Efficacy

Why does Blood Flow Change? Investigating the Math of Blood Flow Dynamics

Amy Troyer, Brandi Morgante Handzlik, Mary Phillips

Version: 1.0

This collection of activities explores the relationship between blood flow, pressure, and the factors of resistance through graphs and modeling direct and inverse variation.
Published on 06.2020
735 Views
657 Downloads
0 Adaptations
quant bio, graphing, Ratios, math, assessment, college algebra, undergraduate education, physiology, Anatomy, human biology, variation, Cardiovascular physiology, Anatomy & Physiology, lab activity, OpenStax, qbcc, manipulate equations, Understanding fractions, Choosing models, Understanding rates, Estimating answers, Use elementary functions, Create graphs, Interpret graphs, Rates and Proportions, Solving Equations and Inequalities, Introductory, Lab, Undergraduate, Homework, Instructional Setting, Audience Level, Activity Length, Less than 1 hour

Why are Cells Small? Surface Area to Volume Ratio

John Howard Starnes, Christianne Baucom Nieuwsma, Jennifer Glee Buntz, Sondra Marie LoRe, Vedham Karpakakunjaram

Version: 1.0

This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
Published on 04.2020
1.1K Views
510 Downloads
0 Adaptations
introductory biology, graphing, Ratios, OpenStax, qbcc, manipulate equations, Cellular and Molecular Biology, Use elementary functions, Create graphs, Interpret graphs, Rates and Proportions, Solving Equations and Inequalities, interpret tables, Introductory, Lab, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Non-majors, Activity Length, 1 Hour, More than 1 hour

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11. Exponents and Polynomials

Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data

Adam Rumpf

Version: 1.0

In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least squares to fit the model's parameters. Activities include both theoretical and conceptual work, exploring the properties of the differential equation models, as well as hands-on computational work, using spreadsheets to quickly process large amounts of data. This activity is meant as a capstone to the differential calculus portion of a typical undergraduate Calculus I course. It explores a biological application of a variety of differential calculus concepts, including: differential equations, numerical differentiation, optimization, and limits. Additional topics explored include semi-log plots and linear regression.
Published on 12.2021
329 Views
459 Downloads
0 Adaptations
modeling, data analysis, linear regression, graphing, Exponents, optimization, calculus, Interpreting Graphs, Functions, qbcc, Cellular and Molecular Biology, Choosing models, Understanding rates, Concepts in Statistics, measurements, manipulating equations, creating graphs, interpreting tables, Introductory, Lab, Online course, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Sizes, Scales and Specialization: Adapted to add scientific notation review

Andrea Huntoon

Version: 1.0 Adapted From: Sizes, Scales and Specialization: Using Relative Proportions and Scientific Notation to Highlight the Diversity of Cell Types v2.0

This module explores how cell size and shape varies across cell types in the human body by having students calculate relative proportions of numbers in scientific notation. The adaptation has added a review of scientific notation.
Published on 05.2021
325 Views
221 Downloads
0 Adaptations
Exponents, Ratios, Scientific Notation, cell type, qbcc, manipulate equations, Cellular and Molecular Biology, converting units, changing scales, Introductory, Undergraduate, Instructional Setting, Audience Level, Activity Length

Students examine the diversity of human cell sizes and number using scientific notation

Kimberly McClure

Version: 1.0

In this powerpoint, several of the resources from the published module 'Sizes, Scales and Specialization' are used to create a mini-module that has students examine the size and abundance of different human cell types using scientific notation.
Published on 05.2021
291 Views
83 Downloads
0 Adaptations
Exponents, Ratios, qbcc, manipulate equations, Cellular and Molecular Biology, converting units, changing scales, Introductory, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, Less than 1 hour

Sizes, Scales and Specialization: Using Relative Proportions and Scientific Notation to Highlight the Diversity of Cell Types

Heather Seitz, Jillian Marie Miller, Joseph Esquibel

Version: 2.0

This module explores how cell size and shape varies across cell types in the human body by having students calculate relative proportions of numbers in scientific notation.
Published on 04.2021
2.3K Views
316 Downloads
1 Adaptations
Exponents, Ratios, Cells, qbcc, manipulate equations, Cellular and Molecular Biology, Visual Accommodations, converting units, changing scales, Introductory, Article, Lab, Lecture, High School, Undergraduate, Publication, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, 1 Hour, More than 1 hour, Accessibility

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12. Factoring
No resources found.

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13. Graphing

Uninhibited Growth of Cells

Emily Boyce

Version: 1.0 Adapted From: Graphing bacterial growth rates: semi-log graphs v linear graphs v1.0

In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear graphs to plot bacterial cell growth.
Published on 03.2022
210 Views
308 Downloads
0 Adaptations
graphing, exponential growth, Microbiology Education, microbiology, bacteria, growth rate, Undergraduate STEM education, Community College Education, qbcc, manipulate equations, Cellular and Molecular Biology, Create graphs, Interpret graphs, binary fission, semi-log graph, linear graph, growth curve, creating graphs, Introductory, Lab, Online course, Lecture, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data

Adam Rumpf

Version: 1.0

In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least squares to fit the model's parameters. Activities include both theoretical and conceptual work, exploring the properties of the differential equation models, as well as hands-on computational work, using spreadsheets to quickly process large amounts of data. This activity is meant as a capstone to the differential calculus portion of a typical undergraduate Calculus I course. It explores a biological application of a variety of differential calculus concepts, including: differential equations, numerical differentiation, optimization, and limits. Additional topics explored include semi-log plots and linear regression.
Published on 12.2021
329 Views
459 Downloads
0 Adaptations
modeling, data analysis, linear regression, graphing, Exponents, optimization, calculus, Interpreting Graphs, Functions, qbcc, Cellular and Molecular Biology, Choosing models, Understanding rates, Concepts in Statistics, measurements, manipulating equations, creating graphs, interpreting tables, Introductory, Lab, Online course, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics

Irene Corriette, Beatriz Gonzalez, Daniela Kitanska, Henriette Mozsolits, Sheela Vemu

Version: 1.0

Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The collection provides student activity files with Excel instructions and Instructor Activity files with Excel instructions and solutions to problems. Students will be able to perform linear regression analysis, find correlation coefficient, create a scatter plot and find the r-square using MS Excel 365. Students will be able to interpret data sets, describe the relationship between biological variables, and predict the value of an output variable based on the input of an predictor variable.
Published on 12.2021
1.7K Views
234 Downloads
0 Adaptations
statistics, mathematics, data analysis, data, linear regression, biology, online, graphing, linear equations, Quantitative reasoning, assessment, college algebra, cell, statistical analysis, regression, OER, Algebra, chemistry, Models, correlation, Simple Linear Regression, Microsoft Excel, lab activity, experiment, Cellular Processes, ATP, qbcc, Using Excel, manipulate equations, Cellular and Molecular Biology, Concepts in Statistics, oxidation, line of best fit, explaining statistics, using statistics, Cellular Respiration, Predictions, Respiration, graphing in Excel, Linear Correlation, Exothermic Reaction, create scatter plot, Adenosine Triphosphate (ATP), germinating peas, Pre-lab activity, Student activity, Hybrid, Collecting Data, R-square, Regression Model, Function, Dependent Variables, Independent Variables, Linear Equation, Linear Equation in two variables, create graph, create equation, create regression, create plot, interpret regression, interpret data, Introductory, Lab, Online course, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Open Access, Open Source, Open Data, Open Education, Open Educational Resources (OER), Open Educational Practices

Exploring Marine Primary Productivity with Descriptive Statistics and Graphing in Excel

Marina McLeod, Jennifer Olson, Wendy Houston

Version: 1.0

In this activity, students use real water chemistry data and descriptive statistics in Excel to examine primary productivity in an urban estuary of the Salish Sea. They will consider how actual data do or do not support expected annual trends.
Published on 09.2021
408 Views
435 Downloads
0 Adaptations
statistics, ecology, data, Excel, graphing, Biochemistry, Oceanography, marine ecosystems, marine ecology, descriptive statistics, long-term datasets, marine, Microsoft Excel, marine biology, plankton, Outliers, Marine Science, qbcc, Using Excel, phytoplankton, Create graphs, Interpret graphs, Concepts in Statistics, large dataset, explaining statistics, using statistics, Pacific Northwest, Salish Sea, primary productivity, water chemistry, estuary, graphing in Excel, formulas in Excel, chlorophyll, time-series plots, ocean, Undergraduate, Dataset, Audience Level, Raw, Cleaned, Activity Length, More than 1 hour, Accessibility, Open Data, Open Educational Resources (OER)

Using Linear Regression Adaptation: Exploring Vector-borne diseases in an online classroom

Darcy Ernst

Version: 1.0 Adapted From: Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases v1.0

In this adaptation students in online classrooms will use linear regression at home and in synchronous online time to analyze real data on vector-borne diseases and explore how environmental factors affect disease transmission.
Published on 08.2021
292 Views
481 Downloads
0 Adaptations
ecology, graphing, microbiology, qbcc, Understanding rates, Create graphs, Interpret graphs, interpret tables, Concepts in Statistics, Introductory, Lab, Online course, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors

Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

Alida Janmaat, Pete Kaslik, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo

Version: 1.0

Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards.
Published on 07.2021
461 Views
319 Downloads
0 Adaptations
statistics, mathematics, biostatistics, ecology, biology, graphing, p-values, t-tests, hypothesis testing, in-class activity, Zoology, mercury biogeochemistry, biostatistics - general, fish population, qbcc, Biogeochemical cycles, Interpret graphs, Solving Equations and Inequalities, Concepts in Statistics, Elementary Hypothesis Testing, Methylmercury, dams, Bioaccumulation, traditional diets, mercury, mercury poisoning, native people, indigenous population, Canada, hydroelectric, explaining statistics, using statistics, Introductory, Lab, Online course, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Advanced, Majors, Non-majors, Activity Length, 1 Hour, Less than 1 hour, More than 1 hour, Extended Project, Developing Self-awareness, Developing Empathy, Classroom Climate, Fostering a Sense of Belonging, Open Science, Open Education, Open Educational Resources (OER)

Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.

Andrea Huntoon, John Doudna, Pallavi Bhale, Thalita Abrahão, Alys Hugo, Jennifer Lyon Adler

Version: 1.0

This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
Published on 06.2021
1.6K Views
612 Downloads
0 Adaptations
Querying databases, graphing, Ratios, data types, statistical learning, correlation, Box Plots, qbcc, health sciences education research, nutrition & food science, Understanding rates, Create graphs, Interpret graphs, interpret tables, Health Science, Concepts in Statistics, explaining statistics, using statistics, Tutorial, Introductory, Study guide, Poster, Online course, Lecture, Manual, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Extended Project, Workshop material, Promoting Engagement and Self-Efficacy, Accessibility, Open Data, Open Educational Resources (OER)

Graphing bacterial growth rates: semi-log graphs v linear graphs

Adam Marschall Jaros, Adronisha Frazier, Beth Alford, Brandy Williams

Version: 1.0

In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear graphs to plot bacterial cell growth.
Published on 02.2021
915 Views
674 Downloads
1 Adaptations
graphing, exponential growth, Microbiology Education, microbiology, bacteria, growth rate, Undergraduate STEM education, Community College Education, qbcc, manipulate equations, Cellular and Molecular Biology, Create graphs, Interpret graphs, binary fission, semi-log graph, linear graph, growth curve, creating graphs, Introductory, Lab, Online course, Lecture, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Big Data, Graphs, and Prediction

Jennifer Lyon Adler, David Simon, Emmanuel des-Bordes, Joseph Esquibel, mary miller, Pradip Raj Aryal, Vickie Flanders

Version: 1.0

In this activity, students are introduced to graphing and modeling data in a step-wise fashion. Real data of covid-19 deaths over time are used to incrementally ask students to fit the data to several models and discuss which model fits best.
Published on 02.2021
594 Views
303 Downloads
0 Adaptations
epidemiology, graphing, Logarithms, exponential growth, qbcc, covid, Choosing models, Create graphs, Interpret graphs, Concepts in Statistics, Activity Length, More than 1 hour

Why Cells Change Weight: Demonstrating Linear Regression Through an Osmosis Experiment

Ashley Lamb Galloway, Stefanie L Holmes, Ashley Morgan, Mary Ann Sexton

Version: 1.0

In this activity, students will perform an experiment utilizing dialysis tubing to create cellular models to demonstrate the linear relationship between cell weight and time in varying tonicities. Videos and data sets (of faculty results) are provided for
Published on 02.2021
634 Views
539 Downloads
0 Adaptations
graphing, qbcc, Cellular and Molecular Biology, Interpret graphs, Concepts in Statistics, Introductory, Undergraduate, Audience Level, Majors, Non-majors, Promoting Engagement and Self-Efficacy

Analysis of Amylase Activity

Allison Carter Burlyn, Christina Fieber, Melanie Lenahan

Version: 1.0

This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme activity.
Published on 11.2020
554 Views
1.9K Downloads
0 Adaptations
data analysis, introductory biology, concentration, graphing, linear equations, Biochemistry, scientific method, standard curve, enzyme function, Microsoft Excel, Interpreting Graphs, enzymes, qbcc, Create graphs, Interpret graphs, Solving Equations and Inequalities, interpret tables, Amylase, Alpha-amylase, Enzyme activity, Maltose, DNS assay, Absorbance, lab report, spectrophotometry, regression line, manipulating equations, line of best fit, graphing by hand, Introductory, Lab, Online course, High School, Undergraduate, Faculty, Instructional Setting, Audience Level, Advanced, Majors, Non-majors, Activity Length, More than 1 hour, Extended Project, Promoting Engagement and Self-Efficacy

Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases

Andy Adams, Jessica A Adams, John J. Bray, Tami Imbierowicz, Suzanne Lenhart, Breonna Martin

Version: 1.0

In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the transmission of these diseases.
Published on 09.2020
1.6K Views
2.3K Downloads
1 Adaptations
ecology, graphing, microbiology, qbcc, Understanding rates, Create graphs, Interpret graphs, interpret tables, Concepts in Statistics, Introductory, Lab, Online course, Lecture, Undergraduate, Instructional Setting, Audience Level, Majors, Non-majors

Why does Blood Flow Change? Investigating the Math of Blood Flow Dynamics

Amy Troyer, Brandi Morgante Handzlik, Mary Phillips

Version: 1.0

This collection of activities explores the relationship between blood flow, pressure, and the factors of resistance through graphs and modeling direct and inverse variation.
Published on 06.2020
735 Views
657 Downloads
0 Adaptations
quant bio, graphing, Ratios, math, assessment, college algebra, undergraduate education, physiology, Anatomy, human biology, variation, Cardiovascular physiology, Anatomy & Physiology, lab activity, OpenStax, qbcc, manipulate equations, Understanding fractions, Choosing models, Understanding rates, Estimating answers, Use elementary functions, Create graphs, Interpret graphs, Rates and Proportions, Solving Equations and Inequalities, Introductory, Lab, Undergraduate, Homework, Instructional Setting, Audience Level, Activity Length, Less than 1 hour

Why are Cells Small? Surface Area to Volume Ratio

John Howard Starnes, Christianne Baucom Nieuwsma, Jennifer Glee Buntz, Sondra Marie LoRe, Vedham Karpakakunjaram

Version: 1.0

This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
Published on 04.2020
1.1K Views
510 Downloads
0 Adaptations
introductory biology, graphing, Ratios, OpenStax, qbcc, manipulate equations, Cellular and Molecular Biology, Use elementary functions, Create graphs, Interpret graphs, Rates and Proportions, Solving Equations and Inequalities, interpret tables, Introductory, Lab, Lecture, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Non-majors, Activity Length, 1 Hour, More than 1 hour

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14. Systems of Equations and Inequalities
No resources found.

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15. Rational Expressions
No resources found.

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16. Radical Expressions and Quadratic Equations
No resources found.

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17. Functions

Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data

Adam Rumpf

Version: 1.0

In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least squares to fit the model's parameters. Activities include both theoretical and conceptual work, exploring the properties of the differential equation models, as well as hands-on computational work, using spreadsheets to quickly process large amounts of data. This activity is meant as a capstone to the differential calculus portion of a typical undergraduate Calculus I course. It explores a biological application of a variety of differential calculus concepts, including: differential equations, numerical differentiation, optimization, and limits. Additional topics explored include semi-log plots and linear regression.
Published on 12.2021
329 Views
459 Downloads
0 Adaptations
modeling, data analysis, linear regression, graphing, Exponents, optimization, calculus, Interpreting Graphs, Functions, qbcc, Cellular and Molecular Biology, Choosing models, Understanding rates, Concepts in Statistics, measurements, manipulating equations, creating graphs, interpreting tables, Introductory, Lab, Online course, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

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18. Exponential and Logarithmic Functions

Uninhibited Growth of Cells

Emily Boyce

Version: 1.0 Adapted From: Graphing bacterial growth rates: semi-log graphs v linear graphs v1.0

In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear graphs to plot bacterial cell growth.
Published on 03.2022
210 Views
308 Downloads
0 Adaptations
graphing, exponential growth, Microbiology Education, microbiology, bacteria, growth rate, Undergraduate STEM education, Community College Education, qbcc, manipulate equations, Cellular and Molecular Biology, Create graphs, Interpret graphs, binary fission, semi-log graph, linear graph, growth curve, creating graphs, Introductory, Lab, Online course, Lecture, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data

Adam Rumpf

Version: 1.0

In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear transformation of the data) and apply the method of least squares to fit the model's parameters. Activities include both theoretical and conceptual work, exploring the properties of the differential equation models, as well as hands-on computational work, using spreadsheets to quickly process large amounts of data. This activity is meant as a capstone to the differential calculus portion of a typical undergraduate Calculus I course. It explores a biological application of a variety of differential calculus concepts, including: differential equations, numerical differentiation, optimization, and limits. Additional topics explored include semi-log plots and linear regression.
Published on 12.2021
329 Views
459 Downloads
0 Adaptations
modeling, data analysis, linear regression, graphing, Exponents, optimization, calculus, Interpreting Graphs, Functions, qbcc, Cellular and Molecular Biology, Choosing models, Understanding rates, Concepts in Statistics, measurements, manipulating equations, creating graphs, interpreting tables, Introductory, Lab, Online course, High School, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

Graphing bacterial growth rates: semi-log graphs v linear graphs

Adam Marschall Jaros, Adronisha Frazier, Beth Alford, Brandy Williams

Version: 1.0

In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear graphs to plot bacterial cell growth.
Published on 02.2021
915 Views
674 Downloads
1 Adaptations
graphing, exponential growth, Microbiology Education, microbiology, bacteria, growth rate, Undergraduate STEM education, Community College Education, qbcc, manipulate equations, Cellular and Molecular Biology, Create graphs, Interpret graphs, binary fission, semi-log graph, linear graph, growth curve, creating graphs, Introductory, Lab, Online course, Lecture, Undergraduate, Homework, Instructional Setting, Audience Level, Majors, Non-majors, Activity Length, More than 1 hour, Open Educational Resources (OER)

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19. Trigonometry
No resources found.

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