Schaum's Outline of Elements of Statistics I: Descriptive Statistics and Probability
Paperback Engels 1998 9780070050235Samenvatting
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Specificaties
Lezersrecensies
Inhoudsopgave
Mathematics Required for Statistics. Characteristics of the Data. Populations, Samples, and Statistics. Descriptive Statistics: Organizing the Data Into Tables. Descriptive Statistics: Graphing the Data. Descriptive Statistics: Measures of Central Tendency, Average Value, and Location. Descriptive Statistics: Measures of Dispersion. Probability: The Classical, Relative Frequency, Set Theory, and Subjective Interpretations. Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules. Random Variables, Probability Distributions, Cumulative Distribution Functions, and Expected Values.
Populations, Samples, and Statistics. Descriptive Statistics: Organizing the Data Into Tables. Descriptive Statistics: Graphing the Data. Descriptive Statistics: Measures of Central Tendency, Average Value, and Location. Descriptive Statistics: Measures of Dispersion. Probability: The Classical, Relative Frequency, Set Theory, and Subjective Interpretations. Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules. Random Variables, Probability Distributions, Cumulative Distribution Functions, and Expected Values.
Descriptive Statistics: Graphing the Data. Descriptive Statistics: Measures of Central Tendency, Average Value, and Location. Descriptive Statistics: Measures of Dispersion. Probability: The Classical, Relative Frequency, Set Theory, and Subjective Interpretations. Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules. Random Variables, Probability Distributions, Cumulative Distribution Functions, and Expected Values.
Descriptive Statistics: Measures of Dispersion. Probability: The Classical, Relative Frequency, Set Theory, and Subjective Interpretations. Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules. Random Variables, Probability Distributions, Cumulative Distribution Functions, and Expected Values.
Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules. Random Variables, Probability Distributions, Cumulative Distribution Functions, and Expected Values.
Distribution Functions, and Expected Values.
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