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BIOSTATS 540 - Fall 2022
Introduction to Biostatistics
Biostatistics and Epidemiology
UMass Amherst
Instructor: Carol Bigelow




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Unit Tests

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Course Unit Pages

1. Summarizing Data

2. Data Visualization

3. Probability: Basics

4. Probabilities in Epidemiology

5. Populations and Samples

6. Bernoulli and Binomal Distributions

7. Normal Distribution

8. Statistical Literacy: Estimation and Hypothesis Testing

9. One Sample Inference

10. Two Sample Inference

11. Chi Square Tests

12. Simple Linear Regression and Correlation

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Unit 7. Normal Distributions

1. Introduction
2. Learning Module
3. Activities
4. Resources

 

(1) Introduction
Video (Source:  Statistics Learning Centre, Dr. Nic) - Probability Distribution Models (video, 6:47)
Video
 (Source:  Statistics Learning Centre, Dr. Nic) - Understanding the Normal Distribution (video, 7:38)
(source: https://www.zoology.ubc.ca/~whitlock/Kingfisher) Sampling from a Normally Distributed (html)
ppt INTRODUCTION (Source: Whitlock and Schluter ) Overheads 10 - The Normal Distribution (pdf, 7 pp)
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(2) Learning Module
BIOSTATS 540 Fall 2022 Course Notes 7. Normal Distribution (pdf, 32 pp)
(Source: British Medical Journal Statistics Notes Series by Douglas Altman and Martin Bland) - Normal Distribution (html)
(Source: Open Intro Lecture by Mine Cetinkaya-Rundel) - Normal Distribution (pdf, 28 slides)
Video (source: Khan Academy) The Central Limit Theorem (video, 9:48)
Video (Source:  i09.com) - The Central Limit Theorem Explained with Bunnies and Dragons (video, 3:39)
Five (5) Homework questions embedded in notes, 7. Normal Distribution (pdf, 32 pp)
Due Friday November 4, 2022
Last date for submission with NO LOSS OF POINTS: Monday November 7, 2022
Last date for submissin for credit (-20 points): Friday November 11, 20222
SOLUTIONS to homework (pdf, 14 pp)
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(3) Activities
Now You Try Unit 7 - Normal Distribution Self-Evaluation Quiz Questions (pdf, 1 pp)
SOLUTIONS (pdf, 3 pp)
Interactive App (Source: University of British Columbia) Sampling from a Normal Distribution (html)
Interactive App (Source: University of British Columbia) Sampling Means from a Normal Distribution (html)
R Users
Video (Source:  Statistics Learning Centre, Dr. Nic) - Introduction to the Normal (video, 7:34)
NORMAL DISTRIBUTION CALCULATOR
(Source: www.artofstat.com) The Normal Distribution (html)
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(4) Resources
R Learners
Video (Source:  MarinStats Lectures) Normal Distribution: Z-Scores and Normal Probabilities in R (video, 6:43)
Video (Source:  MarinStats Lectures) Normal Distribution: Z-Scores and Empirical Rule (video, 9:25)
VIDEO (Source:  i09.com) - The Central Limit Theorem Explained with Bunnies and Dragons (video, 3:39)
VIDEO (Source:  jbstatistics.com) - Introduction to the Normal Distribution (video, 5:26)
VIDEO (Source:  Khan Academy) - The Central Limit Theorem (video, 9:48)
(Source:  University of Sussex) - Introduction to the Normal Distribution (pdf, 29 slides)
(Source:  Pearson Education 2012) - Normal Probability Distributions (pdf, 105 slides)
(Source:  David Lane, Connexions) - History of Normal Distribution (html)
(Source:  Wadsworth Cengage Learning) - Z Scores (html)
(Source: Stat Trel AP Statistics Tutorial) Normal Distribution(html)
(Source: Wadsworth Cengage Learning) Central Limit Theorem (html)
(Source: Open Intro Lecture by Mine Cetinkaya-Rundel) - Normal Distribution (pdf, 28 slides)
(Source: British Medical Journal Statistics Notes Series by Douglas Altman and Martin Bland) - Normal Distribution (html)
 
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This is the course web site for BIOSTATS 540W, Biostatistics and Epidemiology.
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Page updated: October 24, 2022