Alignment: OpenStax • Introductory Statistics

Table of Contents

  • Chapter 1 Sampling and Data
    • 1.1 Definitions of Statistics, Probability, and Key Terms
    • 1.2 Data, Sampling, and Variation in Data and Sampling
    • 1.3 Frequency, Frequency Tables, and Levels of Measurement
    • 1.4 Experimental Design and Ethics
    • 1.5 Data Collection Experiment
    • 1.6 Sampling Experiment
  • Chapter 2 Descriptive Statistics
  • Chapter 3 Probability Topics
  • Chapter 4 Discrete Random Variables
  • Chapter 5 Continuous Random Variables
    • 5.1 Continuous Probability Functions
    • 5.2 The Uniform Distribution
    • 5.3 The Exponential Distribution
    • 5.4 Continuous Distribution
  • Chapter 6 The Normal Distribution
    • 6.1 The Standard Normal Distribution
    • 6.2 Using the Normal Distribution
    • 6.3 Normal Distribution (Lap Times)
    • 6.4 Normal Distribution (Pinkie Length)
  • Chapter 7 The Central Limit Theorem
    • 7.1 The Central Limit Theorem for Sample Means (Averages)
    • 7.2 The Central Limit Theorem for Sums
    • 7.3 Using the Central Limit Theorem
    • 7.4 Central Limit Theorem (Pocket Change)
    • 7.5 Central Limit Theorem (Cookie Recipes)
  • Chapter 8 Confidence Intervals
    • 8.1 A Single Population Mean Using the Normal Distribution
    • 8.2 A Single Population Mean Using the Student t Distribution
    • 8.3 A Population Proportion
    • 8.4 Confidence Interval (Home Costs)
    • 8.5 Confidence Interval (Place of Birth)
    • 8.6 Confidence Interval (Women’s Heights)
  • Chapter 9 Hypothesis Testing with One Sample
    • 9.1 Null and Alternative Hypotheses
    • 9.2 Outcomes and the Type I and Type II Errors
    • 9.3 Distribution Needed for Hypothesis Testing
    • 9.4 Rare Events, the Sample, Decision and Conclusion
    • 9.5 Additional Information and Full Hypothesis Test Examples
    • 9.6 Hypothesis Testing of a Single Mean and Single Proportion
  • Chapter 10 Hypothesis Testing with Two Samples
    • 10.1 Two Population Means with Unknown Standard Deviations
    • 10.2 Two Population Means with Known Standard Deviations
    • 10.3 Comparing Two Independent Population Proportions
    • 10.4 Matched or Paired Samples
    • 10.5 Hypothesis Testing for Two Means and Two Proportions
  • Chapter 11 The Chi-Square Distribution
    • 11.1 Facts about the Chi-Square Distribution
    • 11.2 Goodness-of-Fit Test
    • 11.3 Test of Independence
    • 11.4 Test for Homogeneity
    • 11.5 Comparison of the Chi-Square Tests
    • 11.6 Test of a Single Variance
    • 11.7 Lab 1: Chi-Square Goodness-of-Fit
    • 11.8 Lab 2: Chi-Square Test of Independence
  • Chapter 12 Linear Regression and Correlation
  • Chapter 13 F Distribution and One-Way ANOVA
    • 13.1 One-Way ANOVA
    • 13.2 The F Distribution and the F-Ratio
    • 13.3 Facts about the F Distribution
    • 13.4 Test of Two Variances
    • 13.5 Lab: One-Way ANOVA

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