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Essentials of Mathematical Statistics notes
Brian Albright - ISBN: 9781449685348
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View all 23 notes for Essentials of Mathematical Statistics, written by Brian Albright. All Essentials of Mathematical Statistics notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Essentials of Mathematical Statistics summary or other study material that matches your study style perfectly, and studying will be a breeze.
Best selling Essentials of Mathematical Statistics notes
In depth, step by step solutions on confidence intervals for one variance, confidence intervals for differences and independent sampling.
- Class notes
- • 3 pages •
In depth, step by step solutions on confidence intervals for one variance, confidence intervals for differences and independent sampling.
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.
- Class notes
- • 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 conditional probability, multiplication rule, Bayes theorem, and independent events. Very comprehensive steps, definitions, and numerous, well constructed problems and examples.
- Class notes
- • 6 pages •
In depth, step by step solutions for conditional probability, multiplication rule, Bayes theorem, and independent events. Very comprehensive steps, definitions, and numerous, well constructed problems and examples.
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Newest Essentials of Mathematical Statistics summaries
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.
- Class notes
- • 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)
- Class notes
- • 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 simple regression, covariance, correlation, covariance and correlation graphs. Also has review of Goodness of Fit hypothesis testing and functions of continuous random variables.
- Class notes
- • 3 pages •
In depth, step by step solutions for simple regression, covariance, correlation, covariance and correlation graphs. Also has review of Goodness of Fit hypothesis testing and functions of continuous random variables.
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