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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 9. One Sample Inference
1. Introduction
2. Learning Module
3. Activities
4. Resources
(1) Introduction 
Video (source: NOVA PBS) What is a PValue and Why Does it Matter (video, 4:12) 
ppt INTRODUCTION (Source: Whitlock and Schluter ) Chapter 11  One Sample: Inference About a Mean (pdf, 9 pp) 
ppt INTRODUCTION (Source: Whitlock and Schluter ) Hypothesis Testing (pdf, 14 pp) 
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(2) Learning Module 
BIOSTATS 540 Fall 2021 Course Notes 9. One Sample Inference forthcoming 
Homework: 8 questions embedded in course notes due
Last date for submission with 10 points:
Last data for submission for credit (20 points): 
SOLUTIONS Homework forthcoming 
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(3) Good Reads 
(Source: Nature Methods Vol. 10 No. 9 September 2013 pp 809810) Importance of Being Uncertain (pdf, 2 pp) 
(Source: Nature Methods Vol. 10 No. 9 September 2013 pp 10411042) Significance, Pvalues, ttests (pdf, 2 pp) 
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(4) Resources 
(Source: Whitlock and Schluter Analysis of Biological Data 2nd Edition) Chapter 11  One Sample (pdf, 9 pp) 
(Source: John McGready, Johns Hopkins School of Public Health) Sampling Distribution of the Sample Mean and its Estimate Based on a Single Sample (html) 
(Source: StatPages.org) Exact Binomial Confidence Interval Calculator (html) 
(Source: BIOSTATS 540) Standard Error Chart (pdf, 3 pp) 
(Source: BIOSTATS 540) Hypothesis Testing Tips (pdf, 8 pp) 

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