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Math Tutor DVD - Mastering Statistics: Volume 4 - Hypothesis Testing, Part 1

Posted By: ParRus

Date: 3 Oct 2014 15:08:53

Math Tutor DVD - Mastering Statistics: Volume 4 - Hypothesis Testing, Part 1

Genre: eLearning Video / Statistics, Maths, Lectures

Statistics is one of the most important areas of Math to understand. It has applications in science, engineering, business, economics, political science, and more. In this course, Jason Gibson teaches the fundamental concepts needed to truly Master Statistics with step-by-step video tutorial lessons.

This material focuses on Hypothesis Testing in Statistics, which is one of the most important and useful areas to study. The student will learn what a Hypothesis Test is, why it is important, and how to apply Hypothesis Testing to real statistics problems. We will cover numerous problem types that will require the student to use the normal distribution, the t-distribution, the chi-square distribution, and more. Finally, every problem is discussed in step-by-step detail so that the student will understand exactly why the solution works.

Lecture titles:
1 - Estimating Population Proportions, Part 1
2 - Estimating Population Proportions, Part 2
3 - Estimating Population Proportions, Part 1
4 - The Chi-Square Distribution
5 - Estimating Population Variance, Part 1
6 - Estimating Population Variance, Part 2
7 - Estimating Population Variance, Part 3
8 - Introduction to Hypothesis Testing
9 - Writing the Null and Alternate Hypothesis
10 - Rejection Regions in Hypothesis Testing
11 - Hypothesis Testing for Means (Small Samples), Part 1
12 - Hypothesis Testing for Means (Small Samples), Part 2
13 - Hypothesis Testing for Means (Small Samples), Part 3
14 - Hypothesis Testing for Means (Small Samples), Part 4
15 - Hypothesis Testing for Means (Small Samples), Part 5
16 - Hypothesis Testing for Means (Small Samples), Part 6
17 - Hypothesis Testing for Means (Small Samples), Part 7
18 - Hypothesis Testing for Means (Small Samples), Part 8

(!) first volume: Core Concepst
second volume: Probability Distributions
third volume: Confidence Intervals

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