Light
1.1
Definitions of Statistics, Probability, and Key Terms
1.2
Data, Sampling, and Variation in Data and Sampling
1.3
Levels of Measurement
1.4
Experimental Design and Ethics
2.1
Display Data
2.2
Measures of the Location of the Data
2.3
Measures of the Center of the Data
2.4
Sigma Notation and Calculating the Arithmetic Mean
2.5
Geometric Mean
2.6
Skewness and the Mean, Median, and Mode
2.7
Measures of the Spread of the Data
3.1
Terminology
3.2
Independent and Mutually Exclusive Events
3.3
Two Basic Rules of Probability
3.4
Contingency Tables and Probability Trees
3.5
Venn Diagrams
4.1
Hypergeometric Distribution
4.2
Binomial Distribution
4.3
Geometric Distribution
4.4
Poisson Distribution
5.1
Properties of Continuous Probability Density Functions
5.2
The Uniform Distribution
5.3
The Exponential Distribution
6.1
The Standard Normal Distribution
6.2
Using the Normal Distribution
6.3
Estimating the Binomial with the Normal Distribution
7.1
The Central Limit Theorem for Sample Means
7.2
Using the Central Limit Theorem
7.3
The Central Limit Theorem for Proportions
7.4
Finite Population Correction Factor
8.1
A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
8.2
A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
8.3
A Confidence Interval for A Population Proportion
8.4
Calculating the Sample Size n: Continuous and Binary Random Variables
9.1
Null and Alternative Hypotheses
9.2
Outcomes and the Type I and Type II Errors
9.3
Probability Distribution Needed for Hypothesis Testing
9.4
Full Hypothesis Test Examples
10.1
Comparing Two Independent Population Means
10.2
Cohen's Standards for Small, Medium, and Large Effect Sizes
10.3
Test for Differences in Means: Assuming Equal Population Variances
10.4
Comparing Two Independent Population Proportions
10.5
Two Population Means with Known Standard Deviations
10.6
Matched or Paired Samples
11.1
Facts About the Chi-Square Distribution
11.2
Test of a Single Variance
11.3
Goodness-of-Fit Test
11.4
Test of Independence
11.5
Test for Homogeneity
11.6
Comparison of the Chi-Square Tests
12.1
Test of Two Variances
12.2
One-Way ANOVA
12.3
The F Distribution and the F-Ratio
12.4
Facts About the F Distribution
13.1
The Correlation Coefficient r
13.2
Testing the Significance of the Correlation Coefficient
13.3
Linear Equations
13.4
The Regression Equation
13.5
Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
13.6
Predicting with a Regression Equation
13.7
How to Use Microsoft Excelยฎ for Regression Analysis
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