
External
SMC: Social Sciences Statistics
- Author
- Bettina Spencer
- Publisher
- Saint Mary's College
- Source
- LibreTexts
- Language
- EN
- Category
- Basic Sciences
Contents· 151 sections
- 01: Introduction to Statistics
- 1.1: Basic Definitions and Concepts
- 1.2: Overview
- 1.3: Presentation of Data
- 1.4: Introduction to Statistics (Exercises)
- 02: Sampling and Data
- 2.1: Introduction
- 2.2: Definitions of Statistics, Probability, and Key Terms
- 2.3: Data, Sampling, and Variation in Data and Sampling
- 2.4: Frequency, Frequency Tables, and Levels of Measurement
- 2.5: Experimental Design and Ethics
- 2.6: Data Collection Experiment (Worksheet)
- 2.7: Sampling Experiment (Worksheet)
- 2.8: Sampling and Data (Exercises)
- 03: Descriptive Statistics
- 3.01: Prelude to Descriptive Statistics
- 3.02: Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
- 3.03: Histograms, Frequency Polygons, and Time Series Graphs
- 3.04: Measures of the Location of the Data
- Measures of the Location of the Data (Exercises)
- 3.05: Box Plots
- 3.06: Measures of the Center of the Data
- 3.07: Skewness and the Mean, Median, and Mode
- 3.08: Measures of the Spread of the Data
- 3.09: Descriptive Statistics (Worksheet)
- 3.10: Descriptive Statistics (Exercises)
- 04: Graphing Distributions
- 4.01: Graphing Qualitative Variables
- 4.02: Quantitative Variables
- 4.03: Stem and Leaf Displays
- 4.04: Histograms
- 4.05: Frequency Polygons
- 4.06: Box Plots
- 4.07: Box Plot Demo
- 4.08: Bar Charts
- 4.09: Line Graphs
- 4.10: Dot Plots
- 4.11: Statistical Literacy
- 4.12: Graphing Distributions (Exercises)
- 05: Probability Topics
- 5.1: Introduction
- 5.2: Terminology
- 5.3: Independent and Mutually Exclusive Events
- 5.4: Two Basic Rules of Probability
- 5.5: Contingency Tables
- 5.6: Tree and Venn Diagrams
- 5.7: Probability Topics (Worksheet)
- 5.8: Probability Topics (Exericses)
- 06: The Normal Distribution
- 6.1: Prelude to The Normal Distribution
- 6.2: The Standard Normal Distribution
- The Standard Normal Distribution (Exercises)
- 6.3: Using the Normal Distribution
- 6.4: Normal Distribution - Lap Times (Worksheet)
- 6.5: Normal Distribution - Pinkie Length (Worksheet)
- 6.6: The Normal Distribution (Exercises)
- 07: Sampling Distributions
- 7.1: The Mean and Standard Deviation of the Sample Mean
- 7.2: The Sampling Distribution of the Sample Mean
- 7.3: The Sample Proportion
- 7.4: Sampling Distributions (Exercises)
- 08: Power
- 8.1: Introduction to Power
- 8.2: Example Calculations
- 8.3: Power Demo
- 8.4: Power Demo II
- 8.5: Factors Affecting Power
- 8.6: Statistical Literacy
- 8.7: Power (Exercises)
- 09: Effect Size
- 9.1: Prelude to Effect Size
- 9.2: Proportions
- 9.3: Difference Between Two Means
- 9.4: Proportion of Variance Explained
- 9.5: Statistical Literacy
- 9.6: Effect Size (Exercises)
- 10: Confidence Intervals
- 10.1: Prelude to Confidence Intervals
- 10.2: A Single Population Mean using the Normal Distribution
- A Single Population Mean using the Normal Distribution (Exercises)
- 10.3: A Single Population Mean using the Student t-Distribution
- 10.4: A Population Proportion
- 10.5: Confidence Interval - Home Costs (Worksheet)
- 10.6: Confidence Interval -Place of Birth (Worksheet)
- 10.7: Confidence Interval -Women's Heights (Worksheet)
- 10.8: Confidence Intervals (Exercises)
- 10.9: Confidence Intervals (Summary)
- 11: Hypothesis Testing with One Sample
- 11.1: Prelude to Hypothesis Testing
- 11.2: Null and Alternative Hypotheses
- Null and Alternative Hypotheses (Exercises)
- 11.3: Outcomes and the Type I and Type II Errors
- Outcomes and the Type I and Type II Errors (Exercises)
- 11.4: Distribution Needed for Hypothesis Testing
- Distribution Needed for Hypothesis Testing (Exercises)
- 11.5: Rare Events, the Sample, Decision and Conclusion
- Rare Events, the Sample, Decision and Conclusion (Exercises)
- 11.6: Additional Information and Full Hypothesis Test Examples
- 11.7: Hypothesis Testing of a Single Mean and Single Proportion (Worksheet)
- 11.8: Hypothesis Testing with One Sample (Exercises)
- 12: Hypothesis Testing with Two Samples
- 12.1: Prelude to Hypothesis Testing with Two Samples
- 12.2: Two Population Means with Unknown Standard Deviations
- 12.3: Two Population Means with Known Standard Deviations
- 12.4: Comparing Two Independent Population Proportions
- 12.5: Matched or Paired Samples
- 12.6: Hypothesis Testing for Two Means and Two Proportions (Worksheet)
- 12.7: Hypothesis Testing with Two Samples (Exercises)
- 13: The Chi-Square Distribution
- 13.01: Prelude to The Chi-Square Distribution
- 13.02: Facts About the Chi-Square Distribution
- 13.03: Goodness-of-Fit Test
- 13.04: Test of Independence
- 13.05: Test for Homogeneity
- 13.06: Comparison of the Chi-Square Tests
- 13.07: Test of a Single Variance
- 13.08: Lab 1: Chi-Square Goodness-of-Fit (Worksheet)
- 13.09: Lab 2: Chi-Square Test of Independence (Worksheet)
- 13.10: The Chi-Square Distribution (Exercises)
- 14: Linear Regression and Correlation
- 14.01: Prelude to Linear Regression and Correlation
- 14.02: Linear Equations
- Linear Equations (Exercises)
- 14.03: Scatter Plots
- Scatter Plots (Exercises)
- 14.04: The Regression Equation
- The Regression Equation (Exercise)
- 14.05: Testing the Significance of the Correlation Coefficient
- Testing the Significance of the Correlation Coefficient (Exercises)
- 14.06: Prediction
- Prediction (Exercises)
- 14.07: Outliers
- Outliers (Exercises)
- 14.08: Regression - Distance from School (Worksheet)
- 14.09: Regression - Textbook Cost (Worksheet)
- 14.10: Regression - Fuel Efficiency (Worksheet)
- 14.11: Linear Regression and Correlation (Exercises)
- 15: F Distribution and One-Way ANOVA
- 15.1: Prelude to F Distribution and One-Way ANOVA
- 15.2: One-Way ANOVA
- 15.3: The F Distribution and the F-Ratio
- 15.4: Facts About the F Distribution
- 15.5: Test of Two Variances
- 15.6: Lab: One-Way ANOVA
- 15.7: F Distribution and One-Way ANOVA (Exercises)
- 16: Advanced Graphs
- 16.1: Q-Q Plots
- 16.2: Contour Plots
- 16.3: 3D Plots
- 16.4: Statistical Literacy
- 16.5: Advanced Graphs (Exercises)