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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
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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 6568
2) Unit 3, Module 7: Sampling Distributions. SLIDES 111120 
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: socialresearchmethods.net) Statistical Terms in Sampling 
(html) 
(Source: socialresearchmethods.net) Probability Sampling 
(html) 
(Source: Mine CetinkayaRundel of Open Intro) Sampling from a Small Population 
(pdf, 8 slides) 
(Source: StatTrek Statistics Tutorial) Simple Random Sampling 
(html) 
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 
(html) 




(3) Illustrative Applets 

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








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(4) Calculators 

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








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(5) Computer Illustrations 

Stata
(Source: UCLA Academic Technology Services) BSAMPLE and SAMPLE  How to do simple random sampling with or without replacement 
(html) 






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