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6. Logic of Hypothesis Testing: Nonsignificant Results
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5. Logic of Hypothesis Testing: Interpreting Significant Results
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4. Logic of Hypothesis Testing: One- and Two-Tailed Tests
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3. Logic of Hypothesis Testing: Type I and Type II Errors
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2. Logic of Hypothesis Testing: Significance Testing
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1. Logic of Hypothesis Testing: Introduction
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3. Effect Size: Variance Explained
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2. Effect Size: Two Means
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1. Effect Size: Proportions
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3. Chi Square: Contingency Tables
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2. Chi Square: One-Way Tables
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1. Chi Square: Chi Square Distribution
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2. Transformations: Tukey's Ladder of Powers
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1. Transformations: Log Transformations
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9. Estimation: Confidence Interval on a Proportion
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8. Estimation: Confidence Interval on a Correlation
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7. Estimation: Confidence Interval on the Difference Between Two Means
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6. Estimation: The t distribution
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5. Estimation: Confidence Interval for the Mean
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4. Estimation: Confidence Intervals
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3. Estimation: Characteristics of Estimators
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2. Estimation: Degrees of Freedom
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1. Estimation: Introduction
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5. Sampling Distributions: proportion
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4. Sampling Distributions: Pearson's r
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3. Sampling Distributions: Difference Between Means
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2. Sampling Distributions: Sampling Distribution of the Mean (including Central Limit Theorem)
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1. Sampling Distributions: Introduction
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5. Normal Distributions: Normal Approximation to the Binomial
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4. Normal Distributions: Standard Normal Distribution
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3. Normal Distributions: Areas of Normal Distributions
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2. Normal Distributions: The History of the Discovery of Normal Distributions
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1. Normal Distributions: Introduction
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1. Research Design
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7. Probability: Base Rates
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6. Probability: Hypergeometric Distribution
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5. Probability: Poisson Distribution
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4. Probability: Binomial Distribution
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3. Probability: Permutations
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2. Probability: Basic Concepts
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1. Probability: Introduction
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4. Describing Bivariate Data: Computing Pearson's r
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3. Describing Bivariate Data: Properties of Pearson's Correlation
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2. Describing Bivariate Data: Pearson's Correlation
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1. Describing Bivariate Distributions: Introduction
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8. Summarizing Distributions: Measures of Central Tendency
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7. Summarizing Distributions: Shape
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6. Summarizing Distributions: Measures of Variability
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5. Summarizing Distributions: Comparing Measures of Central Tendency
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4. Summarizing Distributions: Additional Measures of Central Tendency
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3. Summarizing Distributions: Mean and Median
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2. Summarizing Distributions: Measures of Central Tendency
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1. Summarizing Distributions: What is Central Tendency
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5. Graphing Distributions: Box Plots
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4. Graphing Distributions: Histograms
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3. Graphing Distributions: Stem and Leaf Displays
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2. Graphing Distributions: Graphing Qualitative Data
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1. Describing Bivariate Distributions: Introduction
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9. Introduction to Statistics: Levels of Measurement
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8. Introduction to Statistics: Percentiles
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7. Introduction to Statistics: Linear Transformations
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6. Introduction to Statistics: Inferential Statistics
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5. Introduction to Descriptive Statistics
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4. Introduction to Statistics: Summation Notation
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3. Introduction to Statistics: Variables
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2. Introduction to Statistics: What are statistics?
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1. Introduction to Statistics: Importance of Statistics
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Game Theory by Prof. Surya Bannerjee
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Wrichik Basu
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Mar 16, 2018
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Wizards of Odds: The Power of Probability
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Wrichik Basu
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Mar 16, 2018
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The Extraordinary Theorems of John Nash - with Cédric Villani
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Wrichik Basu
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Mar 14, 2018
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Arrow's Impossibility Theorem | Infinite Series - YouTube
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jedishrfu
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Feb 14, 2018
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Making Probability Mathematical | Infinite Series - YouTube
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Feb 12, 2018
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How a mathematician dissects a coincidence - YouTube
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Feb 2, 2018
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Game Theory 101: Probability Distributions
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Greg Bernhardt
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Jan 15, 2016
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