Essential Statistics 2nd Edition Test Bank by Gould, Ryan, Wong

Essential Statistics 2nd Edition Test Bank by Gould, Ryan, Wong

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Name: Essential Statistics 2nd Edition
Author: Robert Gould, Colleen N. Ryan, Rebecca Wong
Edition: 2
ISBN-10: 0134134400
ISBN-13: 9780134134406
Type: Test Bank

From Chapters: 01-10, Appendix A, B, C, D (Complete Chapters), Odds and Evens

The file contains COMPLETE Test Bank questions to ALL chapters in the main textbook.

Test Bank contains questions and answers that Professors will use them as questions in the quizzes/ exams.

Answers in test bank always provide with hints, explainations, and sometimes the steps or “work done” to complete the problem.

As far as I know, you can’t buy this unless you teach the course.

This test bank is a must have, as it:

:: Provides you with test questions that professors will use on the exams right out of this test bank.
:: Well prepared to every exam;
:: To double check your own questions and complete your quizzes, exams, and homework assignments faster and more accurately;
:: Saves you the hassle and stress of student life.
:: Increases you chances of passing expensive courses with a good grade.
:: Is a great investment toward graduation.
:: The digital download allows for Immediate delivery.

You will be able to download the file immediatly after payment is submitted. The download link will appear at the checkout page and it will be emailed to as well.

Complete Test Bank Content:
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?
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. 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
Exploring Statistics–Skittles

Appendix A Tables
Appendix B Check Your Tech Answers
Appendix C Answers to Odd-Numbered Exercises
Appendix D Credits

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