Introductory Statistics 2nd Edition Gould Test Bank

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Product details:

• ISBN-10 ‏ : ‎ 0321978277
• ISBN-13 ‏ : ‎ 978-0321978271
• Author: Robert Gould, Colleen Ryan 

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson’s MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson’s MyLab & Mastering products, you may also need a Course ID, which your instructor will provide.

Table of contents:

1. 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 Data to Understand Causality

Exploring Statistics: Collecting a Table of Different Kinds of Data

2. 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

Exploring Statistics: Personal Distance

3. 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

Exploring Statistics: Does Reaction Distance Depend on Gender?

4. Regression Analysis: Exploring Associations between Variables

Case Study: Catching Meter Thieves

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

Exploring Statistics: Guessing the Age of Famous People

5. 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

Exploring Statistics: Let’s Make a Deal: Stay or Switch?

6. 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)

Exploring Statistics: ESP with Coin Flipping

7. Survey Sampling and Inference

Case Study: Spring Break Fever: Just What the Doctors Ordered? 30

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

Exploring Statistics: Simple Random Sampling Prevents Bias

8. 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

Exploring Statistics: Identifying Flavors of Gum through Smell

9. Inferring Population Means

Case Study: Epilepsy Drugs and Children

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

Exploring Statistics: Pulse Rates

10. Associations between Categorical Variables

Case Study: Popping Better Popcorn

10.1 The Basic Ingredients for Testing with Categorical Variables

10.2 The Chi-Square Test for Goodness of Fit

10.3 Chi-Square Tests for Associations between Categorical Variables

10.4 Hypothesis Tests When Sample Sizes Are Small

Exploring Statistics: Skittles

11. Multiple Comparisons and Analysis of Variance

Case Study: Seeing Red

11.1 Multiple Comparisons

11.2 The Analysis of Variance

11.3 The ANOVA Test

11.4 Post-Hoc Procedures

Exploring Statistics: Recovery Heart Rate

12. Experimental Design: Controlling Variation

Case Study: Does Stretching Improve Athletic Performance?

12.1 Variation Out of Control

12.2 Controlling Variation in Surveys

12.3 Reading Research Papers

Exploring Statistics: Reporting on Research Abstracts

13. Inference without Normality

Case Study: Contagious Yawns

13.1 Transforming Data

13.2 The Sign Test for Paired Data

13.3 Mann-Whitney Test for Two Independent Groups

13.4 Randomization Tests

Exploring Statistics: Balancing on One Foot

14. Inference for Regression

Case Study: Building a Better Oyster Shucker

14.1 The Linear Regression Model

14.2 Using the Linear Model

14.3 Predicting Values and Estimating Means

Exploring Statistics: Older and Slower?

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