11:06
Sampling Distributions (7.2)
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5:06
Introduction to the Probability of Continuous Variables (7.1)
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7:22
Visualizing the Binomial Distribution (6.6)
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10:06
The Binomial Experiment and the Binomial Formula (6.5)
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6:59
Mutually Exclusive and Exhaustive Events (6.4)
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7:53
The Probability of the Union of Events (6.3)
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6:44
Probability of Independent and Dependent Events (6.2)
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7:50
Probability, Sample Spaces, and the Complement Rule (6.1)
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6:57
Z-Scores, Standardization, and the Standard Normal Distribution (5.3)
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8:50
The Normal Distribution and the 68-95-99.7 Rule (5.2)
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9:37
Density Curves and their Properties (5.1)
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1:53
Census, Nonresponse, and Undercoverage (4.2)
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4:50
Types of Sampling Methods (4.1)
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6:36
Types of Experimental Designs (3.3)
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3:36
Placebo Effect, Control Groups, and the Double Blind Experiment (3.2)
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7:06
Causation vs Association, and an Introduction to Experiments (3.1)
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5:35
The Effects of Outliers and Extrapolation on Regression (2.4)
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3:02
Residuals (2.3)
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6:32
Regression and R-Squared (2.2)
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7:26
Explanatory and Response Variables, Correlation (2.1)
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4:06
Symmetry and Skewness (1.8)
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1:55
Percentiles (1.7)
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5:37
The Five Number Summary, Boxplots, and Outliers (1.6)
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4:33
The Effects of Outliers on Spread and Centre (1.5)
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4:51
The Effects of Transforming Data on Spread and Centre (1.4)
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7:10
Mode, Median, Mean, Range, and Standard Deviation (1.3)
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7:35
Bar Charts, Pie Charts, Histograms, Stemplots, Timeplots (1.2)
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Introduction to Statistics (1.1)
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End of Videos