11:06
Sampling Distributions (7.2)
05:06
Introduction to the Probability of Continuous Variables (7.1)
07:22
Visualizing the Binomial Distribution (6.6)
10:06
The Binomial Experiment and the Binomial Formula (6.5)
06:59
Mutually Exclusive and Exhaustive Events (6.4)
07:53
The Probability of the Union of Events (6.3)
06:44
Probability of Independent and Dependent Events (6.2)
07:50
Probability, Sample Spaces, and the Complement Rule (6.1)
06:57
Z-Scores, Standardization, and the Standard Normal Distribution (5.3)
08:50
The Normal Distribution and the 68-95-99.7 Rule (5.2)
09:37
Density Curves and their Properties (5.1)
01:53
Census, Nonresponse, and Undercoverage (4.2)
04:50
Types of Sampling Methods (4.1)
06:36
Types of Experimental Designs (3.3)
03:36
Placebo Effect, Control Groups, and the Double Blind Experiment (3.2)
07:06
Causation vs Association, and an Introduction to Experiments (3.1)
05:35
The Effects of Outliers and Extrapolation on Regression (2.4)
03:02
Residuals (2.3)
06:32
Regression and R-Squared (2.2)
07:26
Explanatory and Response Variables, Correlation (2.1)
04:06
Symmetry and Skewness (1.8)
01:55
Percentiles (1.7)
05:37
The Five Number Summary, Boxplots, and Outliers (1.6)
04:33
The Effects of Outliers on Spread and Centre (1.5)
04:51
The Effects of Transforming Data on Spread and Centre (1.4)
07:10
Mode, Median, Mean, Range, and Standard Deviation (1.3)
07:35
Bar Charts, Pie Charts, Histograms, Stemplots, Timeplots (1.2)
04:50
Introduction to Statistics (1.1)
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