Statistics Study Material
Statistics Video Tutorials, Online Lessons, Ebooks
Video Tutorials under
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ANOVA 1 – Calculating SST (Total Sum of Squares)
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ANOVA 2 – Calculating SSW and SSB (Total Sum of Squares Within and Between)
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ANOVA 3 -Hypothesis Test with F-Statistic
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Bernoulli Distribution Mean and Variance Formulas
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Binomial Distribution 1
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Binomial Distribution 2
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Binomial Distribution 3
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Binomial Distribution 4
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Calculating R-Squared
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Central Limit Theorem
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Chi-Square Distribution Introduction
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Clarification of Confidence Interval of Difference of Means
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Comparing Population Proportions 1
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Comparing Population Proportions 2
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Confidence Interval 1
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Confidence Interval Example
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Confidence Interval of Difference of Means
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Contingency Table Chi-Square Test
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Covariance and the Regression Line
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Difference of Sample Means Distribution
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Expected Value of Binomial Distribution
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Expected Value: E(X)
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Hypothesis Test Comparing Population Proportions
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Hypothesis Test for Difference of Means
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Hypothesis Testing and P-values
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Introduction to Random Variables
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Introduction to the Normal Distribution
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Large Sample Proportion Hypothesis Testing
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Law of Large Numbers
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Margin of Error 1
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Margin of Error 2
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Mean and Variance of Bernoulli Distribution Example
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Normal Distribution Excel Exercise
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One-Tailed and Two-Tailed Tests
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Pearson’s Chi Square Test (Goodness of Fit)
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Poisson Process 1
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Poisson Process 2
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Probability Density Functions
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Proof (Part 1) Minimizing Squared Error to Regression Line
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Proof (Part 3) Minimizing Squared Error to Regression Line
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Proof (Part 4) Minimizing Squared Error to Regression Line
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Proof Part 2 Minimizing Squared Error to Line
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R-Squared or Coefficient of Determination
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Regression Line Example
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Sampling Distribution Example Problem
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Sampling Distribution of the Sample Mean
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Sampling Distribution of the Sample Mean 2
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Second Regression Example
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Small Sample Hypothesis Test
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Small Sample Size Confidence Intervals
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Squared Error of Regression Line
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Standard Error of the Mean
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Statistics – Alternate Variance Formulas
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Statistics – Sample Variance
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Statistics – Sample vs. Population Mean
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Statistics – Standard Deviation
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Statistics – The Average
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Statistics – Variance of a Population
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T-Statistic Confidence Interval
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Type 1 Errors
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Variance of Differences of Random Variables
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Z-statistics vs. T-statistics