![]() The E-Book is initially developed by the UCLA Statistics Online Computational Resource (SOCR). The materials, tools and demonstrations presented in this E-Book would be very useful for advanced-placement (AP) statistics educational curriculum. This is an Internet-based probability and statistics E-Book. 17 Additional EBook Chapters (under Development).16.5 Laplace (Double Exponential) Distribution.16 Chapter XV: Other Common Continuous Distributions.15.7 The Gibbs Sampler and Other Numerical Methods.15.2 Bayesian Inference for the Normal Distribution.14.2 Contingency Tables: Independence and Homogeneity.14.1 Multinomial Experiments: Goodness-of-Fit.14 Chapter XIII: Multinomial Experiments and Contingency Tables.13.5 Differences of Variances of Independent Samples (Variance Homogeneity).13.4 Differences of Means of Several Independent Samples.13.3 Differences of Proportions of Two Samples.13.2 Differences of Medians (Centers) of Two Independent Samples.13.1 Differences of Medians (Centers) of Two Paired Samples.13 Chapter XII: Non-Parametric Inference.12 Chapter XI: Analysis of Variance (ANOVA).11.3 Variation and Prediction Intervals. ![]() 11 Chapter X: Correlation and Regression.10.2 Inferences About Two Means: Independent Samples.10.1 Inferences About Two Means: Dependent Samples.10 Chapter IX: Inferences From Two Samples.9.5 Testing a Claim about a Standard Deviation or Variance.9.3 Testing a Claim about a Mean: Small Samples.9.2 Testing a Claim about a Mean: Large Samples.8.3 Estimating a Population Mean: Small Samples.8.2 Estimating a Population Mean: Large Samples.8.1 Method of Moments and Maximum Likelihood Estimation.8 Chapter VII: Point and Interval Estimates.7.5 Binomial Approximation to Hypergeometric.7.4 Poisson Approximation to Binomial Distribution.7.3 Normal Distribution as Approximation to Binomial Distribution.7 Chapter VI: Relations Between Distributions.6.3 Nonstandard Normal Distribution: Finding Scores (Critical Values).6.2 Nonstandard Normal Distribution: Finding Probabilities.6 Chapter V: Normal Probability Distribution.5.5 Geometric, Hypergeometric, Negative Binomial and Negative Multinomial.5 Chapter IV: Probability Distributions.3.8 Graphs and Exploratory Data Analysis.3.2 Summarizing Data with Frequency Tables.3 Chapter II: Describing, Exploring, and Comparing Data.2.4 Statistics with Tools (Calculators and Computers).2 Chapter I: Introduction to Statistics.
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