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 Introductory Statistics release 20.63
FULL VERSION
CONTENTS
  • Descriptive Statistics
    • Graphical Data Representation
      • Boxplot
      • Histogram
    • Measures of Location
      • Mean
      • Median
      • Mode
      • Quartiles
    • Measures of Spread
      • Interquartile Range
      • Range
      • Variance and Standard Deviation
  • Discrete Random Variables
    • Univariate Case
      • Probability Mass Function
      • Cumulative Distribution Function
      • Expected Value
      • Variance and Standard Deviation
      • Moments
    • Bivariate Case
      • Joint Probability Mass Function
      • Joint Cumulative Distribution Function
      • Marginal Probability Distributions
      • Conditional Probability Distribution
      • Independent Random Variables
      • Covariance and Correlation Coefficient
  • Discrete Distributions
    • Uniform Distribution
    • Binomial Distribution
    • Poisson Distribution
  • Continuous Distributions
    • Uniform Distribution
    • Exponential Distribution
    • Normal Distribution
  • Distributions Related to the Normal
    • Chi-Square distribution
    • Student's t-distribution
    • Properties of the Sample Mean and Variance
  • Parameter Estimation
    • Point Estimations
    • Confidence Intervals
      • Confidence Intervals for a Mean
        • Two - Sided Confidence Interval for a Mean when the Variance is Known
        • One - Sided Confidence Interval for a Mean when the Variance is Known
        • Two - Sided Confidence Interval for a Mean when the Variance is Unknown
        • One - Sided Confidence Interval for a Mean when the Variance is Unknown
      • Confidence Intervals for a Difference of Two Means
        • Two - Sided Confidence Interval for a Difference of Means when Variances Are Known
        • One - Sided Confidence Interval for a Difference of Means when Variances Are Known
        • Two-Sided Confidence Interval for a Difference of Means when Variances Are Equal but Unknown
        • One-Sided Confidence Interval for a Difference of Means when Variances Are Equal but Unknown
      • Confidence Intervals for a Proportion
        • Two-Sided Confidence Interval for a Proportion: Large Sample
        • One-Sided Confidence Interval for a Proportion: Large Sample
        • Determining the Size of the Sample
      • Confidence Intervals for a Difference of Two Proportions
        • Two-Sided Confidence Interval for a Difference of Proportions
        • One-Sided Confidence Interval for a Difference of Proportions
  • Hypothesis Testing
    • General Principles
    • Tests for a Mean
      • Two-Tailed Test for a Mean when the Variance Is Known
      • One-Tailed Test for a Mean when the Variance Is Known
      • Two-Tailed Test for a Mean when the Variance Is Unknown
      • One-Tailed Test for a Mean when the Variance Is Unknown
    • Tests for a Difference of Two Means
      • Two-Tailed Test for a Difference of Means when Variances Are Equal but Unknown
      • One-Tailed Test for a Difference of Means when Variances Are Equal but Unknown
      • Two-Tailed Test for a Difference of Means when Variances are Known
      • One-Tailed Test for a Difference of Means when Variances are Known
    • Tests for a Proportion
      • Two-Tailed Test for a Proportion: Large Sample
      • One-Tailed Test for a Proportion: Large Sample
    • Tests for a Difference of Two Proportions
      • Two-Tailed Test for a Difference of Proportions: Large Sample
      • One-Tailed Test for a Difference of Proportions: Large Sample
  • Linear Regression
    • The Method of Least Squares
    • The Simple Linear Regression Model
    • Estimating Parameters of a Simple Linear Regression Model
      • Estimating the Slope and Y-intercept of a Simple Linear Regression Model
      • Estimating the Variance of the Random Error Components
    • Confidence Interval for the Y-intercept of a Linear Regression
    • Confidence Interval for the Slope of a Linear Regression
    • Testing the Slope for Model Usefulness
    • Estimating the Mean Value of Y for a Given Value of X
    • Predicting One y-Value for a Given Value of x
    • The Coefficient of Determination
ENTER Introductory Statistics ENTER Introductory Statistics
ENTER Introductory Statistics ENTER Introductory Statistics

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