Introductory Statistics, MyLab Revision

Introductory Statistics, MyLab Revision, 10th edition

  • Neil A. Weiss

Choose the option that's right for you

Single

$9.99 / mo

4-month minimum term for $39.96

  • Access this eText title
  • Up to 2 devices

Multi

$14.99 / mo

4-month minimum term for $59.96

  • Access over 1,500 titles
  • Up to 2 devices
  • Discounted tutor access

Learn more, spend less

  • Icon

    Watch and learn

    Videos & animations bring concepts to life

  • Icon

    Listen on the go

    Learn how you like with full eText audio

  • Icon

    Learn anytime, anywhere

    Get the app to access your eText whenever you need it

  • Icon

    Make it your own

    Your notes. Your highlights. Your eText

  • Icon

    Find it fast

    Quickly navigate your eText with search

Overview

Introductory Statistics includes careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 3,000 exercises, this text takes a data-driven approach that encourages you to apply your knowledge and develop statistical understanding.

Published by Pearson (July 15th 2020) - Copyright © 2020

ISBN-13: 9780136872832

Subject: Statistics, Introductory

Category: Introductory Statistics

Table of contents

*Indicates optional material.

**Indicates optional material on the WeissStats site.

PART I: Introduction

1. The Nature of Statistics
Case Study: Top Films of All Time
1.1 Statistics Basics
1.2 Simple Random Sampling
1.3 Other Sampling Designs∗
1.4 Experimental Designs∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

PART II: Descriptive Statistics

2. Organizing Data
Case Study: World's Richest People
2.1 Variables and Data
2.2 Organizing Qualitative Data
2.3 Organizing Quantitative Data
2.4 Distribution Shapes
2.5 Misleading Graphs∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

3. Descriptive Measures
Case Study: The Beatles' Song Length
3.1 Measures of Center
3.2 Measures of Variation
3.3 Chebyshev's Rule and the Empirical Rule∗
3.4 The Five-Number Summary; Boxplots
3.5 Descriptive Measures for Populations; Use of Samples
Chapter in Review
Review Problems
Focusing on Data
Analysis
Case Study Discussion
Biography

PART III: Probability, Random Variables, and Sampling Distributions

4. Probability Concepts
Case Study: Texas Hold'em
4.1 Probability Basics
4.2 Events
4.3 Some Rules of Probability
4.4 Contingency Tables; Joint and Marginal Probabilities∗
4.5 Conditional Probability∗
4.6 The Multiplication Rule; Independence∗
4.7 Bayes's Rule∗
4.8 Counting Rules∗
Chapter in Review 218
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

5. Discrete Random Variables
Case Study: Aces Wild on the Sixth at Oak Hill
5.1 Discrete Random Variables and Probability Distributions∗
5.2 The Mean and Standard Deviation of a Discrete Random Variable∗
5.3 The Binomial Distribution∗
5.4 The Poisson Distribution∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

6. The Normal Distribution
Case Study: Chest Sizes of Scottish Militiamen
6.1 Introducing Normally Distributed Variables
6.2 Areas under the Standard Normal Curve
6.3 Working with Normally Distributed Variables
6.4 Assessing Normality; Normal Probability Plots
6.5 Normal Approximation to the Binomial Distribution∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

7. The Sampling Distribution of the Sample Mean
Case Study: The Chesapeake and Ohio Freight Study
7.1 Sampling Error; the Need for Sampling Distributions
7.2 The Mean and Standard Deviation of the Sample Mean
7.3 The Sampling Distribution of the Sample Mean
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

PART IV: Inferential Statistics

8. Confidence Intervals for One Population Mean
Case Study: Bank Robberies: A Statistical Analysis
8.1 Estimating a Population Mean
8.2 Confidence Intervals for One Population Mean When σ Is Known
8.3 Confidence Intervals for One Population Mean When σ Is Unknown
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

9. Hypothesis Tests for One Population Mean
Case Study: Gender and Sense of Direction
9.1 The Nature of Hypothesis Testing
9.2 Critical-Value Approach to Hypothesis Testing
9.3 P-Value Approach to Hypothesis Testing
9.4 Hypothesis Tests for One Population Mean When σ Is Known
9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
9.6 The Wilcoxon Signed-Rank Test∗
9.7 Type II Error Probabilities; Power∗
9.8 Which Procedure Should Be Used?∗∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

10. Inferences for Two Population Means
Case Study: Dexamethasone Therapy and IQ
10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
10.4 The Mann--Whitney Test∗
10.5 Inferences for Two Population Means, Using Paired Samples
10.6 The Paired Wilcoxon Signed-Rank Test∗
10.7 Which Procedure Should Be Used?∗∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

11. Inferences for Population Standard Deviations
Case Study: Speaker Woofer Driver Manufacturing
11.1 Inferences for One Population Standard Deviation∗
11.2 Inferences for Two Population Standard Deviations, Using Independent Samples∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

12. Inferences for Population Proportions
Case Study: Arrested Youths
12.1 Confidence Intervals for One Population Proportion
12.2 Hypothesis Tests for One Population Proportion
12.3 Inferences for Two Population Proportions
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

13. Chi-Square Procedures
Case Study: Eye and Hair Color
13.1 The Chi-Square Distribution
13.2 Chi-Square Goodness-of-Fit Test
13.3 Contingency Tables; Association
13.4 Chi-Square Independence Test
13.5 Chi-Square Homogeneity Test
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

PART V: Regression, Correlation, and ANOVA

14. Descriptive Methods in Regression and Correlation
Case Study: Healthcare: Spending and Outcomes
14.1 Linear Equations with One Independent Variable
14.2 The Regression Equation
14.3 The Coefficient of Determination
14.4 Linear Correlation
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

15. Inferential Methods in Regression and Correlation
Case Study: Shoe Size and Height
15.1 The Regression Model; Analysis of Residuals
15.2 Inferences for the Slope of the Population Regression Line
15.3 Estimation and Prediction
15.4 Inferences in Correlation
15.5 Testing for Normality∗∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

16. Analysis of Variance (ANOVA)
Case Study: Self-Perception and Physical Activity
16.1 The F-Distribution
16.2 One-Way ANOVA: The Logic
16.3 One-Way ANOVA: The Procedure
16.4 Multiple Comparisons∗
16.5 The Kruskal--Wallis Test∗
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography

PART VI: Multiple Regression and Model Building; Experimental Design and ANOVA∗∗

MODULE A: Multiple Regression Analysis
Case Study: Automobile Insurance Rates
A.1 The Multiple Linear Regression Model
A.2 Estimation of the Regression Parameters
A.3 Inferences Concerning the Utility of the Regression Model
A.4 Inferences Concerning the Utility of Particular Predictor Variables
A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
A.6 Checking Model Assumptions and Residual Analysis
Module in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Answers to Selected Exercises
Index

MODULE B: Model Building in Regression
Case Study: Automobile Insurance Rates-Revisited
B.1 Transformations to Remedy Model Violations
B.2 Polynomial Regression Model
B.3 Qualitative Predictor
B.4 Multicollinearity
B.5 Model Selection: Stepwise Regression
B.6 Model Selection: All-Subsets Regression
B.7 Pitfalls and Warnings
Module in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Answers to Selected Exercises
Index

MODULE C: Design of Experiments and Analysis of Variance
Case Study: Dental Hygiene: Which Toothbrush?
C.1 Factorial Designs
C.2 Two-Way ANOVA: The Logic
C.3 Two-Way ANOVA: The Procedure
C.4 Two-Way ANOVA: Multiple Comparisons
C.5 Randomized Block Designs
C.6 Randomized Block ANOVA: The Logic
C.7 Randomized Block ANOVA: The Procedure
C.8 Randomized Block ANOVA: Multiple Comparisons
C.9 Friedman's Nonparametric Test for the Randomized Block Design
Module in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Answers to Selected Exercises
Index
Appendix A: Statistical Tables
Appendix B: Answers to Selected Exercises
Index
Photo Credits

*Indicates optional material.
**Indicates optional material on the WeissStats site.

Your questions answered

Introducing Pearson+. Reimagined learning, designed for you. Choose from one eText or over 1,500 eTexts and study tools, all in one place, for one low monthly subscription. A new way to buy books that fits your budget. Make the most of your study time with offline access, enhanced search, notes and flashcards — to get organized, get the work done quicker and get results. Plus, with the app, put textbooks in your pocket and learn wherever. It's time to upgrade the textbook and simplify learning, so you can have time to live too.

Pearson eText is an easy-to-use digital textbook available from Pearson+. Make it your own by adding notes and highlights. Download the Pearson+ mobile app to learn on the go, even offline. Listen on the go with our new audiobook feature, available for most titles.

When you choose a plan, you're signing up for a 4-month term. We will charge your payment method each month until your 4-month term has ended. After that, we'll automatically renew your subscription and charge you on a month-to-month basis unless you turn off auto-renewal in My account.

When you purchase a Pearson+ subscription, it will last a minimum of 4 months, and then automatically renew each month thereafter unless you turn off auto-renew in My account.

If you want to stop your subscription at the end of your 4-month term, simply turn off auto-renew from My account. To avoid the next payment charge, make sure you turn auto renewal off 1 day before the auto renewal date.

You can subscribe again after auto-renew has been turned off by purchasing another Pearson+ subscription.

We use your credit card to renew your subscription automatically. To make sure your learning is uninterrupted, please check your card details before your first monthly payment.

With a Multi Pearson+ subscription plan, you can download up to 5 titles on the Pearson+ app from My list on each of your authorized devices every month.

When you're using your Multi Pearson+ subscription plan in a browser, you can select and read from as many titles as you like.