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| Introduction to Statistics | |
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| Overview | |
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| The Nature of Data | |
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| Uses and Abuses of Statistics | |
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| Design of Experiments | |
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| Describing, Exploring, and Comparing Data | |
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| Overview | |
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| Summarizing Data with Frequency Tables | |
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| Pictures of Data | |
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| Measures of Center | |
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| Measures of Variation | |
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| Measures of Position | |
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| Exploratory Data Analysis (EDA) | |
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| Probability | |
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| Overview | |
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| Fundamentals | |
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| Addition Rule | |
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| Multiplication Rule: Basics | |
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| Multiplication Rule: Complements and Conditional Probability | |
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| Probabilities Through Simulations | |
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| Counting | |
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| Probability Distributions | |
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| Overview | |
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| Random Variables | |
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| Binomial Probability Distributions | |
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| Mean, Variance, and Standard Deviation for the Binomial Distribution | |
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| The Poisson Distribution | |
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| Normal Probability Distributions | |
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| Overview | |
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| The Standard Normal Distribution | |
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| Nonstandard Normal Distributions: Finding Probabilities | |
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| Nonstandard Normal Distributions: Finding Values | |
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| The Central Limit Theorem | |
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| Normal Distribution as Approximation to Binomial Distribution | |
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| Determining Normality | |
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| Estimates and Sample Sizes | |
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| Overview | |
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| Estimating a Population Mean: Large Samples | |
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| Estimating a Population Mean: Small Samples | |
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| Determining Sample Size | |
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| Estimating a Population Proportion | |
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| Estimating a Population Variance | |
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| Hypothesis Testing | |
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| Overview | |
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| Fundamentals of Hypothesis Testing | |
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| Testing a Claim about a Mean: Large Samples | |
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| Testing a Claim about a Mean: Small Samples | |
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| Testing a Claim about a Proportion | |
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| Testing a Claim about a Standard Deviation or Variance | |
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| Inferences from Two Samples | |
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| Overview | |
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| Inferences about Two Means: Independent and Large Samples | |
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| Inferences about Two Means: Matched Pairs | |