# QBCC Modules sorted by Quantitative Biology Skills Concepts

These quantitative skill concepts arose from a NIMBioS working group that worked to identify the core quantitative biology skills that community college students need based on surveying community college faculty.

### List of Quantitative Categories

Some QBCC modules fit into multiple categories. There are currently 6 unique QBCC modules listed multiple times in the following categories.

##### 1. Understand the relationship between fractions, decimals, ratios & percents - 2 modules

##### 2. Write mathematical equations from a verbal equation - 0 modules

##### 3. Understand rates of change - 2 modules

##### 4. Choose appropriate model to describe a phenomenon - 2 modules

##### 5. Explain descriptive statistics - 0 modules

##### 6. Use statistics when appropriate - 0 modules

##### 7. Make probability calculations - 0 modules

##### 8. Convert units of measurements - 2 modules

##### 9. Estimate accuracy of answer/calculation - 1 module

##### 10. Change scales (order of magnifications, scientific notation, significant digits) - 2 modules

##### 11. Use elementary functions - 2 modules

##### 12. Create graphs - 4 modules

##### 13. Interpret graphs - 5 modules

##### 14. Interpret tables - 2 modules

##### 15. Manipulate equations - 3 modules

### Modules in Each Category

##### 1. Understand the relationship between fractions, decimals, ratios & percents

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

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

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

Version: 1.0

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

Version: 1.0

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##### 2. Write mathematical equations from a verbal equation

##### 3. Understand rates of change

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

Version: 1.0

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

Version: 1.0

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

Version: 1.0

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##### 4. Choose appropriate model to describe a phenomenon

### Big Data, Graphs, and Prediction

Version: 1.0

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

Version: 1.0

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##### 5. Explain descriptive statistics

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

Version: 1.0

##### 6. Use statistics when appropriate

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

Version: 1.0

##### 7. Make probability calculations

##### 8. Convert units of measurements

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

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

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

Version: 2.0

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

Version: 1.0

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##### 9. Estimate accuracy of answer/calculation

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

Version: 1.0

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##### 10. Change scales (order of magnifications, scientific notation, significant digits)

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

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

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

Version: 2.0

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

Version: 1.0

Back to top

##### 11. Use elementary functions

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

Version: 1.0

### Why are Cells Small? Surface Area to Volume Ratio

Version: 1.0

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##### 12. Create graphs

Version: 1.0

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

Version: 1.0

### Big Data, Graphs, and Prediction

Version: 1.0

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

Version: 1.0

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

Version: 1.0

### Why are Cells Small? Surface Area to Volume Ratio

Version: 1.0

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##### 13. Interpret graphs

Version: 1.0

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

Version: 1.0

### Big Data, Graphs, and Prediction

Version: 1.0

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

Version: 1.0

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

Version: 1.0

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

Version: 1.0

### Why are Cells Small? Surface Area to Volume Ratio

Version: 1.0

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##### 14. Interpret tables

Version: 1.0

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

Version: 1.0

### Why are Cells Small? Surface Area to Volume Ratio

Version: 1.0

Back to top

##### 15. Manipulate equations

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

Version: 2.0

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

Version: 1.0

### Why are Cells Small? Surface Area to Volume Ratio

Version: 1.0

Back to top