BIOSTATS 540 - Fall 2015
Introduction to Biostatistics
Biostatistics and Epidemiology
UMass Amherst



For Students



This Week

Lecture Notes

Homeworks and Exams

Computer Illustrations

Other Resources

Links, by Topic

1. Summarizing Data

2. Introduction to Probability

3. Populations and Samples

4. Bernoulli and Binomal Distributions

5. Normal Distribution

6. Estimation

7. Hypothesis Testing

8. Chi Square Tests

9. Correlation/Regression


3. Populations and Samples
(1) BIOSTATS 540 2015, (2) additional reading, (3) illustrative applets, (4) calculators (5) computer illustrations.

Download adobe reader (click here)

(1)BIOSTATS 540 - 2015
Lecture Notes 2015 Unit 3. Populations and Samples
Notes, (pdf, 37 pp)
Carnegie Mellon OLI Course, Statistical Reasoning:
Introduction and Learning Strategies
1) Unit 2, Module 3: Sampling. SLIDES 65-68
2) Unit 3, Module 7: Sampling Distributions. SLIDES 111-120
Click on Enter course here (html)
University of Florida Biostatistics Open Learning Textbook
After clicking on HOMEPAGE at right, under 6050 & 6052
Unit 2, Producing Data. Module 3: Sampling
Click here for homepage (html)
Homework due Tuesday October 13, 2015
Questions (pdf, 1 pp)
Homework Solutions
Solutions (pdf, 2 pp)
Practice Quiz - Questions
Questions (pdf, 1 pp)
Practice Quiz - Solutions
Solutions (pdf, 4 pp)

(2) Additional Reading
(Source: Statistical Terms in Sampling
(Source: Probability Sampling
(Source: Mine Cetinkaya-Rundel of Open Intro) Sampling from a Small Population (pdf, 8 slides)
(Source: StatTrek Statistics Tutorial) Simple Random Sampling
VIDEO (Source: StatTrek Statistics Tutorial) Sources of Bias in Survey Sampling (html)
(Source: Saifuddin Ahmed, JHSPH Statistical Methods for Sample Surveys) Lecture 1 (pdf, 56 slides)
(Source: Wadsworth Cengage Learning) Sampling Distribution - 26 slides

(3) Illustrative Applets
(Source: P. B. Stark, Berkeley) Sampling Distribution of sum, mean, variance, and the chi square statistic


(4) Calculators
(Source:  Jesse Rankin, University of California) Simple Random Sample Generator


(5) Computer Illustrations
(Source:  UCLA Academic Technology Services) BSAMPLE and SAMPLE - How to do simple random sampling with or without replacement






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