External
Applied Statistics for Social Science
- Publisher
- LibreTexts
- Source
- LibreTexts
- Language
- EN
- Category
- Basic Sciences
Contents· 82 sections
- 01: Sampling and Data
- 1.1: Introduction
- 1.2: Definitions of Statistics, Probability, and Key Terms
- 1.3: Data, Sampling, and Variation in Data and Sampling
- 1.4: Frequency, Frequency Tables, and Levels of Measurement
- 1.5: Experimental Design and Ethics
- 1.6: Sampling and Data (Exercises)
- 02: Descriptive Statistics
- 2.1: Prelude to Descriptive Statistics
- 2.2: Histograms, Frequency Polygons, and Time Series Graphs
- 2.3: Measures of the Location of the Data
- Measures of the Location of the Data (Exercises)
- 2.4: Measures of the Center of the Data
- 2.5: Skewness and the Mean, Median, and Mode
- 2.6: Measures of the Spread of the Data
- 2.7: Descriptive Statistics (Exercises)
- 03: The Normal Distribution
- 3.1: Prelude to The Normal Distribution
- 3.2: The Standard Normal Distribution
- The Standard Normal Distribution (Exercises)
- 3.3: Using the Normal Distribution
- 3.4: The Normal Distribution (Exercises)
- 04: The Central Limit Theorem
- 4.1: Prelude to the Central Limit Theorem
- 4.2: The Central Limit Theorem for Sample Means (Averages)
- The Central Limit Theorem for Sample Means (Exercises)
- 4.3: Using the Central Limit Theorem
- Using the Central Limit Theorem (Exercises)
- 05: Confidence Intervals
- 5.1: Prelude to Confidence Intervals
- 5.2: A Single Population Mean using the Normal Distribution
- A Single Population Mean using the Normal Distribution (Exercises)
- 5.3: A Single Population Mean using the Student t-Distribution
- 5.4: A Population Proportion
- 5.5: Confidence Intervals (Exercises)
- 5.6: Confidence Intervals (Summary)
- 06: Hypothesis Testing with One Sample
- 6.1: Prelude to Hypothesis Testing
- 6.2: Null and Alternative Hypotheses
- Null and Alternative Hypotheses (Exercises)
- 6.3: Outcomes and the Type I and Type II Errors
- Outcomes and the Type I and Type II Errors (Exercises)
- 6.4: Distribution Needed for Hypothesis Testing
- Distribution Needed for Hypothesis Testing (Exercises)
- 6.5: Rare Events, the Sample, Decision and Conclusion
- Rare Events, the Sample, Decision and Conclusion (Exercises)
- 6.6: Additional Information and Full Hypothesis Test Examples
- 6.7: Hypothesis Testing with One Sample (Exercises)
- 07: Hypothesis Testing with Two Samples
- 7.1: Prelude to Hypothesis Testing with Two Samples
- 7.2: Two Population Means with Unknown Standard Deviations
- 7.3: Matched or Paired Samples
- 7.4: Hypothesis Testing with Two Samples (Exercises)
- 08: The Chi-Square Distribution
- 8.1: Prelude to The Chi-Square Distribution
- 8.2: Facts About the Chi-Square Distribution
- 8.3: Test of Independence
- 8.4: Test for Homogeneity
- 8.5: Comparison of the Chi-Square Tests
- 8.6: The Chi-Square Distribution (Exercises)
- 09: Linear Regression and Correlation
- 9.1: Prelude to Linear Regression and Correlation
- 9.2: Linear Equations
- Linear Equations (Exercises)
- 9.3: Scatter Plots
- Scatter Plots (Exercises)
- 9.4: The Regression Equation
- The Regression Equation (Exercise)
- 9.5: Testing the Significance of the Correlation Coefficient
- Testing the Significance of the Correlation Coefficient (Exercises)
- 9.6: Prediction
- Prediction (Exercises)
- 9.7: Outliers
- Outliers (Exercises)
- 9.8: Linear Regression and Correlation (Exercises)
- 10: F Distribution and One-Way ANOVA
- 10.1: Prelude to F Distribution and One-Way ANOVA
- 10.2: One-Way ANOVA
- 10.3: The F Distribution and the F-Ratio
- 10.4: Facts About the F Distribution
- 10.5: Test of Two Variances
- 10.6: F Distribution and One-Way ANOVA (Exercises)