Home
Introduction
Graphing Distributions
Summarizing Distributions
Describing Bivariate Data
Probability
Research Design
Normal Distribution
Advanced Graphs
Sampling Distributions
Estimation
Logic of Hypothesis Testing
Tests of Means
Contents
Standard
Single Mean
Standard
Video
t Distribution Demo
Standard
Difference between 2 Means
Standard
Video
Robustness Simulation
Standard
Pairwise Comparisons
Standard
Video
Specific Comparisons
Standard
Video
Correlated Pairs
Standard
Video
Correlated t Simulation
Standard
Comparisons (correlated)
Standard
Video
Pairwise (Correlated)
Standard
Video
Statistical Literacy
Standard
Exercises
Standard
Power
Regression
Analysis of Variance
Transformations
Chi Square
Distribution Free Tests
Effect Size
Case Studies
Calculators
Glossary
Chapter:
Front
1. Introduction
2. Graphing Distributions
3. Summarizing Distributions
4. Describing Bivariate Data
5. Probability
6. Research Design
7. Normal Distribution
8. Advanced Graphs
9. Sampling Distributions
10. Estimation
11. Logic of Hypothesis Testing
12. Tests of Means
13. Power
14. Regression
15. Analysis of Variance
16. Transformations
17. Chi Square
18. Distribution Free Tests
19. Effect Size
20. Case Studies
21. Calculators
22. Glossary
Section:
Contents
Single Mean
t Distribution Demo
Difference between 2 Means
Robustness Simulation
Pairwise Comparisons
Specific Comparisons
Correlated Pairs
Correlated t Simulation
Comparisons (correlated)
Pairwise (Correlated)
Statistical Literacy
Exercises
Home
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Previous Section
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Next Section
Standard View
introduction
|
animal research case study
|
assumptions
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formula for testing
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calculating the statistic
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estimating variance
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std error diff
|
calculating t
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testing the statistic
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back to our example
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notes on stat software
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Unequal Sample Sizes
Learning Objectives
State the assumptions for testing the difference between two means
Estimate the population variance assuming homogeneity of variance
Compute the standard error of the difference between means
Compute t and p for the difference between means.