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Applied Statistics for Social Science

Statistics

Nhà xuất bản: LibreTexts
Nguồn: LibreTexts
Ngôn ngữ: EN
Danh mục: Khoa học cơ bản

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Mục lục· 82 mục

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)