The Boundless Statistics textbook is a college-level, introductory textbook that covers the fascinating subject of Statistics, a branch of mathematics often highly relevant to everyday situations. Boundless works with subject matter experts to select the best open educational resources available on the web, review the content for quality, and create introductory, college-level textbooks designed to meet the study needs of university students.This textbook covers:Statistics and Statistical Thinking – OverviewStatistics in Practice -- Observational Studies, Controlled ExperimentsVisualizing Data -- The Histogram, Graphing DataFrequency Distributions -- Frequency Distributions for Quantitative Data, Frequency Distributions for Qualitative DataDescribing, Exploring, and Comparing Data -- Central Tendancy, Measures of Relative Standing, The Law of Averages, Further Considerations for DataMeasures of Variation -- Describing VariabilitySampling -- Populations and Samples, Sample Surveys, Sampling Distributions, Errors in Sampling, Sampling ExamplesProbability -- What Are the Chances?, Probability Rules, More About ChanceProbability and Variability -- Discrete Random Variables, The Binomial Random Variable, Other Random VariablesContinuous Random Variables -- The Normal Curve, Normal Approximation for Data, Measurement Error, Expected Value and Standard Error, Normal Approximation for Probability HistogramsCorrelation and Regression -- Correlation, More About Correlation, Regression, The Regression Line, R.M.S. Error for Regression, Multiple RegressionEstimation and Hypothesis Testing -- Estimation, Confidence Intervals, Hypothesis Testing, Hypothesis Testing with Two Samples, Comparing More than Two Means, The F-Test, Analysis of Variance (Repeated Measures)Other Hypothesis Tests -- The T-Test, The Chi-Squared Test, Tests for Ranked Data, Nonparametric StatisticsA Closer Look at Tests of Significance -- Which Test?, A Closer Look at Tests of Significance
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