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Résumés Essentials of Mathematical Statistics
Brian Albright - ISBN: 9781449685348
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Afficher tous les 23 résumés de Essentials of Mathematical Statistics, écrits par Brian Albright. Les résumés de Essentials of Mathematical Statistics sur Stuvia sont écrits par des étudiants ou des enseignants, ce qui facilite et accélère la compréhension du contenu du manuel. Trouver le résumé qui correspond parfaitement à votre style d'apprentissage rendra l'étude beaucoup plus facile.
Résumés des meilleures ventes pour Essentials of Mathematical Statistics
Final exam review. In depth, step by step solving Goodness of Fit, Test of Independence, covariance, correlation. quantile-quantile (QQ) plot, and hypothesis testing for two means.
- Notes de cours
- • 3 pages •
Final exam review. In depth, step by step solving Goodness of Fit, Test of Independence, covariance, correlation. quantile-quantile (QQ) plot, and hypothesis testing for two means.
Finals review part 1. In depth, step by step solutions for Bayes theorem, normal distributions, functions of continuous random variables, hypothesis testing for comparing two proportions, and moment generating functions (MGF)
- Notes de cours
- • 2 pages •
Finals review part 1. In depth, step by step solutions for Bayes theorem, normal distributions, functions of continuous random variables, hypothesis testing for comparing two proportions, and moment generating functions (MGF)
In depth, step by step solutions for quantile-quantile (QQ) plots, hypothesis testing, and hypothesis testing about means.
- Notes de cours
- • 3 pages •
In depth, step by step solutions for quantile-quantile (QQ) plots, hypothesis testing, and hypothesis testing about means.
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
In depth, step by step solutions for continuous random variables, uniform distributions, exponential distributions, and normal distributions. Comprehensive solutions and analysis with charts and definitions.
- Notes de cours
- • 3 pages •
In depth, step by step solutions for continuous random variables, uniform distributions, exponential distributions, and normal distributions. Comprehensive solutions and analysis with charts and definitions.
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
- Notes de cours
- • 4 pages •
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
In depth, step by step solutions for discrete random variable and probability mass function. Provides numerous problems with comprehensive analysis, solutions, formulas, definitions and visual representation.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for discrete random variable and probability mass function. Provides numerous problems with comprehensive analysis, solutions, formulas, definitions and visual representation.
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
- Notes de cours
- • 6 pages •
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
Introduction to Probability and Statistics. Basic probability concepts and theorems.
- Notes de cours
- • 5 pages •
Introduction to Probability and Statistics. Basic probability concepts and theorems.
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Derniers résumés de Essentials of Mathematical Statistics
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
Lists and defines basic statistic terminology, such as types of studies, sampling methodologies, types of measurements, random and simple random sampling. Step by step solutions for summarizing data problems, portraying answers in charts and histograms.
- Notes de cours
- • 6 pages •
Lists and defines basic statistic terminology, such as types of studies, sampling methodologies, types of measurements, random and simple random sampling. Step by step solutions for summarizing data problems, portraying answers in charts and histograms.
In depth, step by step solutions for continuous random variables. Introduces basic concepts and definitions for continuous random variable distributions. Includes numerous tables and definitions for comprehensive solutions and analysis.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for continuous random variables. Introduces basic concepts and definitions for continuous random variable distributions. Includes numerous tables and definitions for comprehensive solutions and analysis.
Test 1 review. This review analyzes concepts such as independent events, mean and variance, probability mass functions, and moment generating functions. Full step by step solutions for the topics listed.
- Notes de cours
- • 4 pages •
Test 1 review. This review analyzes concepts such as independent events, mean and variance, probability mass functions, and moment generating functions. Full step by step solutions for the topics listed.
In depth, step by step solutions for functions of random variables, functions of discrete random variables and moment generating functions. Provides comprehensive analysis with complete solutions and theorems.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for functions of random variables, functions of discrete random variables and moment generating functions. Provides comprehensive analysis with complete solutions and theorems.
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
- Notes de cours
- • 4 pages •
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
In depth, step by step solutions for probability mass functions, hypergeometric distributions, binomial distributions, Bernoulli definition, Poisson distribution and unusual event principle. Provides numerous problems with full solution, formulas and definitions.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for probability mass functions, hypergeometric distributions, binomial distributions, Bernoulli definition, Poisson distribution and unusual event principle. Provides numerous problems with full solution, formulas and definitions.
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
- Notes de cours
- • 6 pages •
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
- Notes de cours
- • 5 pages •
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
Introduction to Probability and Statistics. Basic probability concepts and theorems.
- Notes de cours
- • 5 pages •
Introduction to Probability and Statistics. Basic probability concepts and theorems.
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