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OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution
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0:26:08
OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution
0:07:44
OCR MEI Statistics 1 2.02a Introducing the Sum of the Squares S_xx
0:28:29
OCR MEI Statistics 2 2.02 Approximating a Binomial Distribution with a Poisson Distribution
0:09:16
OCR MEI Statistics 2 3.03 Inverses with Two Unknowns
0:23:06
OCR MEI Statistics 2 1.02 Hypothesis Testing with the Product Moment Correlation Coefficient
0:36:04
OCR MEI Statistics 2 1.01 The Product Moment Correlation Coefficient
0:17:43
OCR MEI Statistics 2 3.02 Using the Inverse Normal Tables
0:33:24
OCR MEI Statistics 2 3.01 Introducing the Normal Distribution
0:06:56
OCR MEI Statistics 1 2.01 Reintroducing Mean, Median, Mode, Range & Interquartile Range
0:30:56
OCR MEI Statistics 2 3.05 Sample Means and Hypothesis Testing
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OCR MEI Statistics 1 2.04 Finding the Standard Deviation: given n, the sum of x^2, and the Mean
0:00:37
OCR MEI Statistics 1 3.02b A Discrete Probability Distribution Example 2
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OCR MEI Statistics 2 4.02 Comparing Contributions and Low Expected Frequencies
0:26:25
OCR MEI Statistics 2 1.03 Spearman's Rank Correlation Coefficient & Hypothesis Testing
0:02:52
OCR MEI Statistics Minor A: PMCC: 01 Introduction to Bivariate Data
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OCR MEI Statistics 1 3.07 An Example of Calculating the Expected Value, E(X)
0:08:19
OCR MEI Statistics 1 1.10 Finding Probabilities using a Tree Diagram
0:20:42
OCR MEI Statistics 2 4.01 Introducing the Chi-Squared Contingency Table Test
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OCR MEI Statistics 1 2.03 Comparing Two Data Sets by their Standard Deviation
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OCR MEI Statistics 1 1.03a Venn Diagram Example - Finding Probabilities
0:10:23
OCR MEI Statistics 1 6.01 Introducing Hypothesis Testing and Significance Levels
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OCR MEI Statistics 1 1.03b Venn Diagram Example - Introducing Conditional Probability
0:26:29
OCR MEI Statistics 2 1.04 The Least-Squares Regression Line
0:03:31
OCR MEI Statistics 1 6.06 Introducing Two-Tail Hypothesis Tests
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