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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 | |