Covers material typically presented in an intermediate statistics course at the undergraduate level and a first course in applied statistics at the graduate level. Topics include basic statistical inference, regression, and ANOVA. Advanced topics include non-parametric statistics, logistic regression, and goodness-of-fit tests.
Covers material typically presented in an intermediate statistics course at the undergraduate level and a first course in applied statistics at the graduate level. Topics include basic statistical inference, regression, and ANOVA. Advanced topics include non-parametric statistics, logistic regression, and goodness-of-fit tests.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Sally A. Lesik is a professor of mathematics at Central Connecticut State University. Dr. Lesik has taught many mathematics, statistics, engineering, and physics courses. Her primary research is in applied statistical inference. .
Inhaltsangabe
Introduction. Graphing Variables. Descriptive Representations of Data and Random Variables. Basic Statistical Inference for One-Sample. Basic Statistical Inference for Two Samples. Simple Linear Regression. More on Simple Linear Regression. Multiple Regression Analysis. More on Multiple Regression Analysis. One-Way Analysis of Variance (One-Way ANOVA). Additional Topics.
Introduction. Graphing Variables. Descriptive Representations of Data and Random Variables. Basic Statistical Inference for One-Sample. Basic Statistical Inference for Two Samples. Simple Linear Regression. More on Simple Linear Regression. Multiple Regression Analysis. More on Multiple Regression Analysis. One-Way Analysis of Variance (One-Way ANOVA). Additional Topics.
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