8
 BIOSTATS 540 - Fall 2022 Introduction to Biostatistics Biostatistics and Epidemiology UMass Amherst
 Instructor: Carol Bigelow

For Students

Syllabus

This Week

Unit Lecture Notes

Unit Tests

Illustrations

Other Resources

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 cre
dit (-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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 Copyright 2022 University of Massachusetts, Amherst. This is the course web site for BIOSTATS 540W, Biostatistics and Epidemiology. Produced and maintained by the School of Public Health and Health Sciences. Send comments or questions about this web site to cbigelow@schoolph.umass.edu. Page updated: October 24, 2022