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Introduction | |

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What Is Statistics? | |

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Introduction | |

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Why Study Statistics? | |

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Some Current Applications of Statistics | |

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What Do Statisticians Do? | |

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Quality and Process Improvement | |

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A Note to the Student | |

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Summary | |

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Supplementary Exercises | |

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Collecting The Data | |

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Using Surveys And Scientific Studies To Collect Data | |

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Introduction | |

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Surveys | |

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Scientific Studies | |

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Observational Studies | |

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Data Management: Preparing Data for Summarization and Analysis | |

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Summary | |

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Summarizing Data | |

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Data Description Introduction | |

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Describing Data on a Single Variable: Graphical Methods | |

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Describing Data on a Single Variable: Measures of Central Tendency | |

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Describing Data on a Single Variable: Measures of Variability | |

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The Box Plot | |

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Summarizing Data from More Than One Variable | |

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Calculators, Computers, and Software Systems | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Tools And Concepts | |

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Probability And Probability Distributions | |

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How Probability Can Be Used in Making Inferences | |

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Finding the Probability of an Event | |

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Basic Event Relations and Probability Laws | |

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Conditional Probability and Independence | |

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Bayes''''s Formula | |

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Variables: Discrete and Continuous | |

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Probability Distributions for Discrete Random Variables | |

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A Useful Discrete Random Variable: The Binomial | |

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Probability Distributions for Continuous Random Variables | |

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A Useful Continuous Random Variable: The Normal Distribution | |

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Random Sampling | |

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Sampling Distributions | |

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Normal Approximation to the Binomial | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Analyzing Data: Central Values, Variances, And Proportions | |

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Inferences On A Population Central Value | |

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Introduction and Case Study | |

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Estimation of ï¿½ | |

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Choosing the Sample Size for Estimating ï¿½ | |

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A Statistical Test for ï¿½ | |

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Choosing the Sample Size for Testing ï¿½ | |

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The Level of Significance of a Statistical Test | |

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Inferences about ï¿½ for Normal Population, s Unknown | |

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Inferences about the Population Median | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Comparing Two Population Central Values | |

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Introduction and Case Study | |

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Inferences about ï¿½1 - ï¿½2: Independent Samples | |

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A Nonparametric Alternative: The Wilcoxon Rank Sum Test | |

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Inferences about ï¿½1 - ï¿½2: Paired Data | |

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A Nonparametric Alternative: The Wilcoxon Signed-Rank Test | |

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Choosing Sample Sizes for Inferences about ï¿½1 - ï¿½2 | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Inferences About Population Variances | |

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Introduction and Case Study | |

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Estimation and Tests for a Population Variance | |

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Estimation and Tests for Comparing Two Population Variances | |

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Tests for Comparing k >2 Population Variances | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Inferences About Population Central Values | |

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Introduction and Case Study | |

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A Statistical Test About More Than Two Population Variances | |

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Checking on the Assumptions | |

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Alternative When Assumptions are Violated: Transformations | |

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A Nonparametric Alternative: The Kruskal-Wallis Test | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Multiple Comparisons | |

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Introduction and Case Study | |

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Planned Comparisons Among Treatments: Linear Contrasts | |

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Which Error Rate Is Controlled | |

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Multiple Comparisons with the Best Treatment | |

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Comparison of Treatments to a Control | |

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Pairwise Comparison on All Treatments | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises | |

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Categorical Data | |

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Introduction and Case Study | |

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Inferences about a Population Proportion p | |

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Comparing Two Population Proportions p1 - p2 | |

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Probability Distributions for Discrete Random Variables | |

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The Multinomial Experiment and Chi-Square Goodness-of-Fit Test | |

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The Chi-Square Test of Homogeneity of Proportions | |

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The Chi-Square Test of Independence of Two Nominal Level Variables | |

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Fisher''''s Exact Test, a Permutation Test | |

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Measures of Association | |

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Combining Sets of Contingency Tables | |

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Summary | |

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Key Formulas | |

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Supplementary Exercises PART VI: | |

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Analyzing Data: Regression Methods, Model Building | |

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Simple Linear Regression And Correlation | |

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Linear Regression a | |