### Math Tutor DVD Mastering Statistics Volume 3 Central Limit Theorem & Confidence Intervals [18 Webrips FLV ]

Math Tutor DVD - Mastering Statistics, Volume 3: Central Limit Theorem & Confidence Intervals [18 Webrips (FLV)] | 995 MB
Genre: e-Learning

Product Description: 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.

Statistics is a difficult subject for most students, but anyone can Master Statistics with our step-by-step teaching style!

Disk 1
1 - Sampling Distributions
2 - Central Limit Theorem, Part 1
3 - Central Limit Theorem, Part 2
4 - Apply Central Limit Theorem to Population Means, Part 1
5 - Apply Central Limit Theorem to Population Means, Part 2
6 - Apply Central Limit Theorem to Population Means, Part 3
7 - Apply Central Limit Theorem to Population Proportions, Part 1
8 - Apply Central Limit Theorem to Population Proportions, Part 2

Disk 2
9 - Confidence Intervals for Population Means, Part 1
10 - Confidence Intervals for Population means, Part 2
11 - Estimating Population Means (Large Samples), Part 1
12 - Estimating Population Means (Large Samples), Part 2
13 - Estimating Population Means (Large Samples), Part 3
14 - The Student t-Distribution
15 - Using Student t-Distribution Statistical Tables
16 - Estimating Population Means (Small Samples), Part 1
17 - Estimating Population Means (Small Samples), Part 2
18 - Estimating Population Means (Small Samples), Part 3