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| Introduction to Statistics | |
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| Overview | |
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| Types of Data | |
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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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| Frequency Distributions | |
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| Visualizing Data | |
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| Measures of Center | |
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| Measures of Variation | |
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| Measures of Relative Standing | |
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| Exploratory Data Analysis (EDA) | |
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| Probability | |
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| Overview3-2 Fundamentals | |
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| Addition Rule | |
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| Multiplication Rule: Basics | |
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| Multiplication Rule: Conditional Probability | |
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| Relative Risk and Odds Ratio | |
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| Rates of Mortality, Fertility, and Morbidity | |
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| Counting Methods | |
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| Discrete Probability Distributions | |
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| Overview4-2 | |
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| 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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| Applications of Normal Distributions | |
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| Sampling Distributions and Estimators | |
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| The Central Limit Theorem | |
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| Normal Approximation to Binomial | |
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| Assessing Normality | |
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| Estimates and Sample Sizes with One Sample | |
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| Overview | |
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| Estimating a Population Proportion | |
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| Estimating a Population Mean:sKnown | |
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| Estimating a Population Mean:sNot Known | |
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| Estimating a Population Variance | |
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| Hypothesis Testing with One Sample | |
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| Overview | |
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| Basics of Hypothesis Testing | |
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| Testing a Claim about a Proportion | |
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| Testing a Claim about a Mean:sKnown | |
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| Testing a Claim about a Mean:sNot Known | |
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| Testing a Claim about Variation | |
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| Inferences from Two Samples | |
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| Overview | |
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| Two Proportions | |
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| Two Means: Independent Samples | |