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




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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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Computer Illustrations
1. R
2. Art of Stat



R Users

Handout/Illustration (link)
R Handout Fall 2022 How to Install R and R Studio MAC Users (pdf, 4 pp)
R Handout Fall 2022 How to Install R and R Studio WINDOWS Users (pdf, 4 pp)
R Handout Fall 2022 01 - R Essentials (pdf, 18 pp)
R Handout Fall 2022 02 - R Essentials II (pdf, 11 pp)
Right click to download (arthritis.xlsx)
R Handout Fall 2022 03 - Numerical Summaries (pdf, 10 pp)
Right click to download (lung_demo.xlsx)
R Handout Fall 2022 04 - Introduction to ggplot2 (pdf, 12 pp)
Right click to download (framingham_didactic.xlsx)
R Handout Fall 2022 05 - Introduction to R Markdown (pdf, 14 pp)
R Handout Fall 2022 06 - One and Two Sample Inference (pdf, 11 pp)
Right click to download (sepsis.Rdata)
LAST YEAR 2021-22 R: Supplement: Normal, t, Chi Square, F, Sums of Normals (pdf, 22 pp)
R Handout Fall 2022 07 - The 2x2 Table (pdf, 10 pp)



Art of Stat Users

Handout/Illustration (link)
Art of Stat Handout 2022-23 Introduction (pdf, 12 pp)
Right click to download excel data (icu_540.xlxs)
LAST YEAR 2021-22 Art of Stat Handout Fall 2021 Numerical Summaries (pdf, 9 pp)
Right click to download (lung_demo.xlsx)

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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: December 6, 2022