Tags: Probability

All Categories (1-20 of 36)

  1. Prosecutor’s Fallacy and Mammograms Case Study

    09 Jun 2024 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton1, Sadie Kriegler

    Unity College

    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.

    https://qubeshub.org/publications/4847/?v=1

  2. Sanghoon Na

    I am in the 4th year of the MATH Ph.D. program at the University of Maryland, College Park. My research interests are theoretical machine learning and compression methods (data and neural networks).

    https://qubeshub.org/community/members/47009

  3. Milena Cuellar

    https://qubeshub.org/community/members/40110

  4. 2009-Agnes_Rash-Brian_Winkel-Birth_and_Death_Process_Modeling_Leads_to_the_Poisson_Distribution

    12 Mar 2023 | Teaching Materials | Contributor(s):

    By Agnes Rash1, Brian Winkel2

    1. NA 2. SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

    In this paper there are details of development of the general birth and death process from which we can extract the Poisson process as a special case.

    https://qubeshub.org/publications/3796/?v=1

  5. Vanesa Natalia Serafini

    https://qubeshub.org/community/members/31693

  6. Biological Science Quantitative Reasoning Exam (BioSQuaRE)

    Collections | 23 Aug 2022 | Posted by Suann Yang

    https://qubeshub.org/community/groups/biographi/collections/quantitative-assessments

  7. 1-039-StochasticPopModels-ModelingScenario

    25 May 2022 | Teaching Materials | Contributor(s):

    By Daniel Flath

    Macalester College, St. Paul Mn USA

    We develop strategies for creating a population model using some simple probabilistic assumptions. These assumptions lead to a system of differential equations for the probability that a system is...

    https://qubeshub.org/publications/3301/?v=1

  8. 1-141-MMGameRevisited-ModelingScenario

    22 May 2022 | Teaching Materials | Contributor(s):

    By Mehdi Hakim-Hashemi

    It is assumed that the probability of an M&M chocolate, when tossed, falling on the M side is 0.5 The goal is to find a probability distribution of the probability q which is Pr(randomly chosen M&M...

    https://qubeshub.org/publications/3198/?v=1

  9. 1-108-PoissonProcess-ModelingScenario

    07 May 2022 | Teaching Materials | Contributor(s):

    By Mehdi Hakim-Hashemi

    Normandale Community College, Bloomington MN USA

    In this project students learn to derive the probability density function (pdf) of the Poisson distribution and the cumulative distribution (cdf) of the waiting time. They will use them to solve...

    https://qubeshub.org/publications/3011/?v=1

  10. 7-008-MachineReplacement-ModelingScenario

    06 May 2022 | Teaching Materials | Contributor(s):

    By Brian Winkel

    SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

    Students build an integro-differential equation model using a convolution for machine replacement strategies for two different machine failure models.

    https://qubeshub.org/publications/2999/?v=1

  11. GEA Introductory lesson on BLAST

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Justin DiAngelo1, Alexis Nagengast2, Wilson Leung3, Douglas L Chalker3

    1. Penn State Berks 2. Widener University 3. Washington University in St. Louis

    The "Introduction to BLAST using Human Leptin" exercise aims to introduce students to the use of the Basic Local Alignment Search Tool (BLAST) to identify related sequences and compare similarity...

    https://qubeshub.org/publications/1987/?v=1

  12. Gabriela Florido

    https://qubeshub.org/community/members/16825

  13. Smruti Patel Jani

    https://qubeshub.org/community/members/15818

  14. Omayra Ortega

    https://qubeshub.org/community/members/13504

  15. The Chi-Square Test

    15 Feb 2019 | Teaching Materials | Contributor(s):

    By Lou Gross1, Monica Beals1, Susan Harrell1

    University of Tennessee Knoxville

    This module introduces how to determine whether observation is significantly different from expectation in the context of understanding Chi-square Test. It is intended for an introductory biology...

    https://qubeshub.org/publications/1050/?v=1

  16. Amino Acid Frequency

    23 Dec 2018 | Teaching Materials | Contributor(s):

    By Lou Gross1, Monica Beals1, Susan Harrell1

    University of Tennessee Knoxville

    This module introduces expected frequencies in the context of understanding amino acid composition. It is intended for an introductory biology audience.

    https://qubeshub.org/publications/979/?v=1

  17. Innovative Teaching Exchange: Asking Questions in Probability Class

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Queena N. Lee-Chua

    Ateneo de Manila University

    This is an article in MAA's Innovative Teaching Exchange that describes strategies to get students past thoughtless number crunching, guessing, and intuition when it comes to solving probability...

    https://qubeshub.org/publications/898/?v=1

  18. SUMS4Bio - Video tutorials in math and stats for biology students

    22 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Caleb Adams1, Dan Metz1

    Radford University

    Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology

    https://qubeshub.org/publications/747/?v=1

  19. Linked Genes and Recombination: Advanced Punnett Squares

    21 Aug 2018 | Teaching Materials | Contributor(s):

    By Kaci Thompson1, Karen Nelson1

    University of Maryland

    An online module in which students learn about more difficult genetics problems, including linked genes and crossing over. Quantitatively students learn about marginal probabilities and chi-square...

    https://qubeshub.org/publications/743/?v=1

  20. More Mice with Fangs: Intermediate Punnett Squares

    21 Aug 2018 | Teaching Materials | Contributor(s):

    By Kaci Thompson1, Karen Nelson2

    1. University of Maryland 2. University Of Maryland

    An online module utilizing probability and Punnett squares to introduce students to more complex genetic problems. The module emphasizes students' use of probability to solve the problems.

    https://qubeshub.org/publications/742/?v=1