Mastering Statistics: Vol 2
Flash Video | AVC, ~360 kb/s | 600x336 | 4 hours | English: AAC, 44.1 KHz (2 ch) | 745 MB
“Statistics is one of the most important areas of Math to understand. It has applications in science, engineering, business, economics, policical science, and more. In this 4 Hour Course, Jason Gibson teaches the fundamental concepts needed to truly Master Statistics with step-by-step video tutorials. ”
The lessons begin with fundamental definitions of statistics such as probability, distribution, z-score, normal table, and more. Next, we introduce the concept of a discrete probability distribution and contrast this with a continuous distribution.
Finally, we will spend considerable time on the Normal Probability distribution, which is the most important distribution in all of statistics. We will learn how to solve practice statistical problems using the normal distribution and the z-score table.
Statistics is a difficult subject for most students, but anyone can Master Statistics with our step-by-step teaching style!
Sect 1: Intro to this Course
Sect 2: Random Variables and Discrete Probability Distributions
Sect 3: The Normal Probability Distribution
Sect 4: Properties of the Normal Distribution
Sect 5: The Area Under the Normal Distribution
Sect 6: The Standard Normal Distribution
Sect 7: Practice with the Standard Normal Distribution
Sect 8: Using a Z-Chart Table, Part 1
Sect 9: Using a Z-Chart Table, Part 2
Sect 10: Using a Z-Chart Table, Part 3
Sect 11: Using a Z-Chart Table, Part 4
Sect 12: Finding Probability using a Normal Distribution, Part 1
Sect 13: Finding Probability using a Normal Distribution, Part 2
Sect 14: Finding Probability using a Normal Distribution, Part 3
Sect 15: Finding Probability using a Normal Distribution, Part 4
Sect 16: Finding Probability using a Normal Distribution, Part 5
Sect 17: Finding Z-Values with a Normal Distribution, Part 1
Sect 18: Finding Z-Values with a Normal Distribution, Part 2
Sect 19: Finding Z-Values with a Normal Distribution, Part 3
Sect 20: Finding Z-Values with a Normal Distribution, Part 4
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