Statistics > SOLUTIONS MANUAL > Essential Statistics, 3rd edition By Robert N. Gould, Rebecca Wong, Colleen Ryan (Test Bank) (All)

Essential Statistics, 3rd edition By Robert N. Gould, Rebecca Wong, Colleen Ryan (Test Bank)

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Index of Applications Introduction to Data  Case Study: Deadly Cell Phones?  1.1 What Are Data?  1.2 Classifying and Storing Data  1.3 Organizing Categorical Data  1.4 Collecting Dat... a to Understand Causality Data Project: How Are Data Stored? Picturing Variation with Graphs  Case Study: Student-to-Teacher Ratio at Colleges  2.1 Visualizing Variation in Numerical Data  2.2 Summarizing Important Features of a Numerical Distribution  2.3 Visualizing Variation in Categorical Variables  2.4 Summarizing Categorical Distributions  2.5 Interpreting Graphs Data Project: Asking Questions Numerical Summaries of Center and Variation Case Study: Living in a Risky World  3.1 Summaries for Symmetric Distributions  3.2 What’s Unusual? The Empirical Rule and z-Scores  3.3 Summaries for Skewed Distributions  3.4 Comparing Measures of Center  3.5 Using Boxplots for Displaying Summaries Data Project: The Statistical Investigation Cycle Regression Analysis: Exploring Associations between Variables  Case Study: Forecasting Home Prices  4.1 Visualizing Variability with a Scatterplot  4.2 Measuring Strength of Association with Correlation  4.3 Modeling Linear Trends  4.4 Evaluating the Linear Model Data Project: Data Moves Modeling Variation with Probability Case Study: SIDS or Murder?  5.1 What Is Randomness?  5.2 Finding Theoretical Probabilities  5.3 Associations in Categorical Variables  5.4 Finding Empirical Probabilities Data Project: Submitting Data Modeling Random Events: The Normal and Binomial Models  Case Study: You Sometimes Get More Than You Pay For  6.1 Probability Distributions Are Models of Random Experiments  >6.2 The Normal Model  6.3 The Binomial Model (optional) Data Project: Generating Random Numbers Survey Sampling and Inference  Case Study: Spring Break Fever: Just What the Doctors Ordered? 7.1 Learning about the World through Surveys  7.2 Measuring the Quality of a Survey  7.3 The Central Limit Theorem for Sample Proportions  7.4 Estimating the Population Proportion with Confidence Intervals  7.5 Comparing Two Population Proportions with Confidence Data Project: Population Proportions Hypothesis Testing for Population Proportions  Case Study: Dodging the Question  8.1 The Essential Ingredients of Hypothesis Testing  8.2 Hypothesis Testing in Four Steps  8.3 Hypothesis Tests in Detail  8.4 Comparing Proportions from Two Populations Data Project: Dates as Data Inferring Population Means  Case Study: You Look Sick! Are You Sick?  9.1 Sample Means of Random Samples  9.2 The Central Limit Theorem for Sample Means  9.3 Answering Questions about the Mean of a Population  9.4 Hypothesis Testing for Means  9.5 Comparing Two Population Means  9.6 Overview of Analyzing Means Data Project: Data Structures Analyzing Categorical Variables and Interpreting Research  Case Study: Popping Better Popcorn  10.1 The Basic Ingredients for Testing with Categorical Variables  10.2 Chi-Square Tests for Associations between Categorical Variables  10.3 Reading Research Papers Data Project: Think Small Appendices A: Tables  B: Check Your Tech Answers  C: Credits Index [Show More]

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