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Introduction
Graphing Distributions
Summarizing Distributions
Contents
Standard
Central Tendency
Standard
Video
What is Central Tendency
Standard
Video
Measures of Central Tendency
Standard
Video
Balance Scale Simulation
Standard
Video
Absolute Differences Simulation
Standard
Squared Differences Simulation
Standard
Median and Mean
Standard
Video
Mean and Median Demo
Standard
Additional Measures
Standard
Video
Comparing Measures
Standard
Video
Variability
Standard
Video
Measures of Variability
Standard
Video
Variability Demo
Standard
Estimating Variance Simulation
Standard
Shapes of Distributions
Standard
Video
Comparing Distributions Demo
Standard
Effects of Linear Transformations
Standard
Video
Variance Sum Law I
Standard
Video
Statistical Literacy
Standard
Exercises
Standard
Describing Bivariate Data
Probability
Research Design
Normal Distribution
Advanced Graphs
Sampling Distributions
Estimation
Logic of Hypothesis Testing
Tests of Means
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
Central Tendency
What is Central Tendency
Measures of Central Tendency
Balance Scale Simulation
Absolute Differences Simulation
Squared Differences Simulation
Median and Mean
Mean and Median Demo
Additional Measures
Comparing Measures
Variability
Measures of Variability
Variability Demo
Estimating Variance Simulation
Shapes of Distributions
Comparing Distributions Demo
Effects of Linear Transformations
Variance Sum Law I
Statistical Literacy
Exercises
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introduction
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quiz example
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possible quiz distributions
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chess example
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central tendency
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balance point
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smallest absolute differences
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smallest squared differences
Learning Objectives
Identify situations in which knowing the center of a distribution would be valuable
Give three different ways the center of a distribution can be defined