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 8. Statistical Literacy: Introduction to Estimation and Hypothesis Testing

1. Introduction
2. Learning Module
3. Activities/Statistics in Practice
4. Resources

(1) Introduction
Video (source: NOVA PBS) What is a p-value (video, 4:12)
Video (source: MarinStats - Lectures) Confidence Interval Concept Explained (video, 8:15)
(source: Cobb G and Gehlbach SA ) Statistics in the Courtroom (pdf, 18 pp)
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(2) Learning Module
ppt INTRODUDCTION (Source: Whitlock and Schluter - Chapter 4 ) Estimating with Uncertainty (pdf, 7 slides)
ppt INTRODUCTION (Source: Whitlock and Schluter - Chapter 6) Hypothesis Testing (pdf, 16 slides)
BIOSTATS 540 Fall 2022 Course Notes 8. Statistical Literacy - Estimation and Hypothesis Testing (pdf, 47 pp)
BIOSTATS 540 Fall 2022 Course Notes 8, SUPPLEMENT - Selected Probability Distributions (Normal, t, Chi Square, F) and How to Work with them (pdf, 22 pp)
NO HOMEWORK Enjoy. There is no homework assignment for this week
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(3) Activities/Statistics in Practice
(Source: Brown University Series - Seeing Theory) Frequentist Inference (html)
(Source: Nature Methods Vol. 10 No. 9 September 2013 pp 809-810) Importance of Being Uncertain (pdf, 2 pp)
(Source: Nature Methods Vol. 10 No. 9 September 2013 pp 1041-1042) Significance, P-values, t-tests (pdf, 2 pp)
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(4) Resources
VIDEO (Source: Statistics Learning Centre) Understanding Confidence Intervals (video, 4:04)
VIDEO (Source: Statistics Learning Centre) Calculating the Confidence Interval for the Mean Using a Formula (video, 5:28)
VIDEO (Source: Statistics Learning Centre) Hypothesis Testing (video, 7:37)
VIDEO (Source: Statistics Learning Centre) Understanding the P-value, t Test (video, 4:42)
VIDEO (Source: University of British Columbia Visualizing Statistics Series) Confidence Interval for the Mean TUTORIAL (html)
Video (source: jbstatistics) Introduction to Confidence Intervals (video, 6:41)
Video (source: jbstatistics) Introduction to Hypothesis Testing (video, 9:53)
Video (source: jbstatistics) Type I errors, Type II Errors and the Power of the Test (video, 8:10)
Video (source: TED Talk by Mona Chalabi) 3 Ways to Spot a Bad Statistic (video, 11:45)
(Source: Nature Methods Series) Statistics for Biologists - Points of Significance (html)
(Source: Nuzzo, R. Nature Vol. 506, 13 February 2014) Statistical Errors (pdf, 3 pp)
(Source: Krzywinski and Altman Nature Methods Vol. 10 No. 9 September 2013 pp 1041-42)
Significance, P-Values and t-Tests (pdf, 2 pp)
(Source: Krzywinski and Altman Nature Methods Vol. 10 No. 9 September 2013 pp 809-810)
Importance of Being Uncertain (pdf, 2 pp)
(source: Nuzzo, R. Nature. Vol 526 8 October 2015) Fooling Ourselves, 4 pp (html)
(Source: Science Vol 349 Issue 6251 Open Science Collaboration) Estimating the Reproducibility of Psychological Science (pdf, 10 pp)
(Source: Nature Methods Vol. 492 September 2012 pp 809-810) Know When Your Numbers are Significant (pdf, 2 pp)

 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 31, 2022