Wackerly Study guides, Class notes & Summaries

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Solution Manual - Mathematical Statistics with Applications 7th edition, Wackerly
  • Solution Manual - Mathematical Statistics with Applications 7th edition, Wackerly

  • Exam (elaborations) • 333 pages • 2024
  • Solution Manual - Mathematical Statistics with Applications 7th edition, Wackerly
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Student Solutions Manual forWackerly/Mendenhall/ Scheaffer's Mathematical Statistics with Applications, 7th(7th Edition) Student Solutions Manual forWackerly/Mendenhall/ Scheaffer's Mathematical Statistics with Applications, 7th(7th Edition)
  • Student Solutions Manual forWackerly/Mendenhall/ Scheaffer's Mathematical Statistics with Applications, 7th(7th Edition)

  • Exam (elaborations) • 334 pages • 2023
  • Student Solutions Manual forWackerly/Mendenhall/ Scheaffer's Mathematical Statistics with Applications, 7th(7th Edition)
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Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly

  • Exam (elaborations) • 334 pages • 2023
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly Chapter 1: What is Statistics? 1.1 a. Population: all generation X age US citizens (specifically, assign a ‘1’ to those who want to start their own business and a ‘0’ to those who do not, so that the population is the set of 1’s and 0’s). Objective: to estimate the proportion of generation X age US citizens who want to start their own business. b. Population: all healthy adults in the US. Ob...
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Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly

  • Exam (elaborations) • 334 pages • 2023
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
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Instructors_Solutions_Manual___Mathematical_Statistics_with_Applications_7th_ed__Wackerly_
  • Instructors_Solutions_Manual___Mathematical_Statistics_with_Applications_7th_ed__Wackerly_

  • Exam (elaborations) • 334 pages • 2024
  • What is Statistics? 1.1 a. Population: all generation X age US citizens (specifically, assign a ‘1’ to those who want to start their own business and a ‘0’ to those who do not, so that the population is the set of 1’s and 0’s). Objective: to estimate the proportion of generation X age US citizens who want to start their own business. b. Population: all healthy adults in the US. Objective: to estimate the true mean body temperature c. Population: single family dwelling units in the...
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Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly

  • Exam (elaborations) • 334 pages • 2023
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
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Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly

  • Exam (elaborations) • 334 pages • 2023
  • Solution Manual Mathematical Statistics With Applications 7th Edition Wackerly
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Intro to probability distributions and related concepts Intro to probability distributions and related concepts
  • Intro to probability distributions and related concepts

  • Summary • 6 pages • 2023
  • Available in package deal
  • This material covers introductory statistical concepts, such as bivariate distributions and moment-generating functions.
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Intro to probability distributions Intro to probability distributions
  • Intro to probability distributions

  • Summary • 8 pages • 2023
  • Available in package deal
  • An intro to concepts relating to probability distributions.
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Summary Mathematical Statistics with Applications, ISBN: 9781111798789  Mathematical Statistics 245 (MS245) Summary Mathematical Statistics with Applications, ISBN: 9781111798789  Mathematical Statistics 245 (MS245)
  • Summary Mathematical Statistics with Applications, ISBN: 9781111798789 Mathematical Statistics 245 (MS245)

  • Summary • 51 pages • 2020
  • Available in package deal
  • This document contains comprehensive summaries of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.). This document also contains a brief summary of general hypothesis tests and p-values.
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