Math Tutor DVD – Mastering Statistics: Volume 1, 3 DVD-set-0daytown

Math Tutor DVD – Mastering Statistics: Volume 1

3xDVDRip | English | FLV | 600 x 336 | AVC ~360 kbps | 29.970 fps

AAC | 64 Kbps | 44.1 KHz | 2 channels | 6 hours | 1.18 GB

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, policical science, and more. In this 6 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 populations, samples, and frequency distributions. Next, the student will learn how to represent data in charts and histograms. Then we’ll cover important topics on how to represent data using the mean, median, mode, and standard deviation. Finally, the student will learn how to interpret the standard deviation of data for bell-shaped distributions and represent data as quartiles and box/whisker plots. Statistics is a difficult subject for most students, but anyone can Master Statistics with our step-by-step teaching style!

Lecture titles:
Sect 1: Introduction to Statistics
Sect 2: Populations and Samples
Sect 3: Descriptive Vs. Inferential Statistics
Sect 4: Applying Definitions in Statistics
Sect 5: The Frequency Distribution
Sect 6: Relative and Cumulative Frequency Distributions
Sect 7: Pie Charts, Bar Graphs, and Pareto Charts
Sect 8: Histograms
Sect 9: Stem and Leaf Diagrams
Sect 10: Population Mean and Sample Mean
Sect 11: Calculating Means
Sect 12: Median and Mode
Sect 13: Data Range
Sect 14: Population and Sample Variance
Sect 15: Calculating Variance
Sect 16: Population and Sample Standard Deviation
Sect 17: Calculating Standard Deviation
Sect 18: Coefficient of Variation
Sect 19: Standard Deviation of Frequency Data
Sect 20: Empirical Rule of Standard Deviation
Sect 21: Empirical Rule Problems
Sect 22: Chebyshev’s Theorem of Standard Deviation
Sect 23: Quartiles of Data
Sect 24: Box and Whisker Plots
Sect 25: Standard Score (z-Score)