Elementary statistics 10th Edition by Robert Johnson, Patricia Kuby 0495386944 9780495386940

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ISBN 10: 0495386944 

ISBN 13: 9780495386940

Author: Robert Johnson; Patricia Kuby

Succeed in statistics with ELEMENTARY STATISTICS! Including relevant examples, exercises, and applications, this textbook gives you the tools you need to get a good grade in your statistics course. Struggling with a specific concept? Log onto Personal Tutor with SMARTHINKING to get live, one-on-one online tutoring from a statistician who has a copy of the textbook. Video Skillbuilders and StatisticsNow (an online learning tool built around your individual progress that gives you a simple pre-test, and then focuses your learning experience on your studying needs) provide additional online support. Learning to use MINITAB, Excel, and the TI-83/84 graphing calculator is made easy with instructions included in relevant sections throughout the text.

Elementary statistics 10th Table of contents:

Part I: Descriptive Statistics
Statistics
Americans, Here’s Looking at You
What is Statistics?
Measurability and Variability
Data Collection
Probability vs. Statistics
Statistics and Technology

Descriptive Analysis and Presentation of Single-Variable Data
You and the Internet
Graphical Presentation of Data
Graphs, Pareto Diagrams, and Stem-and-Leaf Displays
Frequency Distributions and Histograms
Numerical Descriptive Statistics
Measures of Central Tendency
Measures of Dispersion
Measures of Position
Interpreting and Understanding Standard Deviation
The Art of Statistical Deception
Mean and Standard Deviation of Frequency Distributions (Optional)

Descriptive Analysis and Presentation of Bivariate Data
The Kid is All Grown Up
Bivariate Data
Linear Correlation
Linear Regression

Part II: Probability
Probability
Sweet Statistics
Probability of Events
Conditional Probability
Rules of Probability
Mutually Exclusive Events
Independent Events
Mutually Exclusive vs. Independent Events

Probability Distributions (Discrete Variables)
Caffeine Drinking
Random Variables
Discrete Probability Distributions
Mean and Variance of a Discrete Probability Distribution
The Binomial Probability Distribution
Mean and Standard Deviation of the Binomial Distribution

Normal Probability Distributions
Intelligence Scores
Normal Probability Distributions
The Standard Normal Distribution
Applications of Normal Distributions
Notation
Normal Approximation of the Binomial

Sample Variability
275 Million Americans
Sampling Distributions
The Sampling Distribution of Sample Means
Applications of the Sampling Distribution

Part III: Inferential Statistics
Introduction to Statistical Inference
Were They Shorter Back Then?
The Nature of Estimation
Estimation of a Mean (σ Known)
The Nature of Hypothesis Testing
Hypothesis Test of Mean μ (σ Known) – Probability Value Approach
Hypothesis Test of Mean μ (σ Known) – Classical Approach

Inferences Involving One Population
Get Enough Daily Exercise?
Inferences About Mean μ (σ Unknown)
Inferences About the Binomial Probability of Success
Inferences About Variance and Standard Deviation

Inferences Involving Two Populations
Students, Credit Cards, and Debt
Independent and Dependent Samples
Inferences Concerning Mean Difference (Dependent Samples)
Inferences Concerning Difference Between Means (Independent Samples)
Inferences Concerning Difference Between Proportions (Independent Samples)
Inferences Concerning Ratio of Variances (Independent Samples)

Part IV: Advanced Inferential Statistics
Applications of Chi-Square
Cooling a Great Hot Taste
Chi-Square Statistic
Inferences Concerning Multinomial Experiments
Inferences Concerning Contingency Tables

Analysis of Variance (ANOVA)
Time Spent Commuting to Work
Introduction to ANOVA
The Logic Behind ANOVA
Applications of Single-Factor ANOVA

Linear Correlation and Regression
Beautiful Golden Wheat!
Linear Correlation Analysis
Inferences About the Linear Correlation Coefficient
Linear Regression Analysis
Inferences Concerning the Regression Line Slope
Confidence Interval Estimates for Regression
Understanding Correlation vs. Regression

Elements of Nonparametric Statistics
Teenagers’ Attitudes
Nonparametric Statistics
Comparing Statistical Tests
The Sign Test
The Mann-Whitney U Test
The Runs Test
Rank Correlation

Appendices and Additional Resources
Appendix A: Basic Principles of Counting
Appendix B: Statistical Tables
Answers to Odd-Numbered Exercises
Answers to Chapter Practice Tests
Application Index
Index for Computer and Calculator Instructions

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