Chalk Dust Productions - Statistics

Chalk Dust Productions are like Math Tutor DVD. They are specially commissioned by Houghton Mifflin to supplement their various textbooks, but it is not necessary at all to possess the textbooks in order to benefit from these videos.

Lecture titles (total time nearly 20 hrs):

1.1 - What is Statistics
1.2 - Random Samples
1.3 - Introduction to Experimental Design
2.1 - Bar Graphs, Circle Graphs, and Time-Series Graphs
2.2 - Frequency Distributions, Histograms, and Related Topics
2.3 - Stem-and-Leaf Displays
3.1 - Measures of Central Tendency - Mode, Median, and Mean
3.2 - Measures of Variation
3.3 - Mean and Standard Deviation of Grouped Data
3.4 - Percentiles and Box-and-Whisker Plots
4.1 - What is Probability
4.2 - Some Probability Rules - Compound Events
4.3 - Trees and Counting Techniques
5.1 - Introduction to Random Variables and Probability Distributions
5.2 - Binomial Probabilities
5.3 - Additional Properties of Binomial Distribution
5.4 - The Geometric and Poisson Probability Distributions
6.1 - Graphs of Normal Probability Distributions
6.2 - Standard Units and Areas Under the Standard Normal Distribution
6.3 - Areas Under Any Normal Curve
6.4 - Normal Approximation to the Binomial Distribution
7.1 - Sampling Distributions
7.2 - The Central Limit Theorem
7.3 - Sampling Distributions for Proportions
8.1 - Estimating u when o is Known
8.2 - Estimating u when o is Unknown
8.3 - Estimating p in the Binomial Distribution
8.4 - Choosing the Sample Size
8.5 - Estimating u1-u2 and p1-p2
9.1 - Introduction to Statistical Tests
9.2 - Testing the Mean m
9.3 - Testing a Proportion p
9.4 - Tests Involving Paired Differences (Dependent Samples)
9.5 - Testing m1-m2 and p1-p2 (Independent Samples)
10.1 - Scatter Diagrams and Linear Correlation
10.2 - Linear Regression and the Coefficient of Determination
10.3 - Inferences for Correlation and Regression
10.4 - Multiple Regression
11.1 - Chi-Square - Tests of Independence
11.2 - Chi Square - Goodness of Fit
11.3 - Testing and Eliminating a Single Variance or Standard Deviation
11.4 - Testing Two Variances
11.5 - One-Way ANOVA - Comparing Several Sample Means
11.6 - Introduction to Two-Way ANOVA
12.1 - The Sign Test for Matched Pairs
12.2 - The Rank-Sum Test
12.3 - Spearman Rank Correlation
12.4 - Runs Test for Randomness