Elementary Statistics 11th Edition by Robert Johnson ,Patricia Kuby ISBN 0538733500 978-0538733502
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Product details:
ISBN 10:0538733500
ISBN 13:978-0538733502
Author:Robert Johnson ,Patricia Kuby
Succeed in statistics with ELEMENTARY STATISTICS! With its down-to-earth writing style and relevant examples, exercises, and applications, this book gives you the tools you need to make the grade in your statistics course. Learning to use MINITAB, Excel, and the TI-83/84 graphing calculator is made easy with output and instructions included throughout the text. Need extra help? A wealth of online supplements offers you guided tutorial support, step-by-step video solutions, and immediate feedback.
Table of contents:
1. Statistics
1.1. What Is Statistics?
Americans, Here’s Looking at You
Section 1.1 Exercises
1.2. Measurability and Variability
Section 1.2 Exercises
1.3. Data Collection
The Data-Collection Process
Single-Stage Methods
Multistage Methods
Section 1.3 Exercises
1.4. Statistics and Technology
Section 1.4 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
2. Descriptive Analysis and Presentation of Single-Variable Data
2.1. Graphs, Pareto Diagrams, and Stem-and-Leaf Displays
Students, Here’s Looking at You
Qualitative Data
Quantitative Data
Section 2.1 Exercises
2.2. Frequency Distributions and Histograms
Section 2.2 Exercises
2.3. Measures of Central Tendency
Section 2.3 Exercises
2.4. Measures of Dispersion
Section 2.4 Exercises
2.5. Measures of Position
Section 2.5 Exercises
2.6. Interpreting and Understanding Standard Deviation
The Empirical Rule and Testing for Normality
Chebyshev’s Theorem
Section 2.6 Exercises
2.7. The Art of Statistical Deception
Good Arithmetic, Bad Statistics
Graphic Deception
Superimposed Misrepresentation
Section 2.7 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
3. Descriptive Analysis and Presentation of Bivariate Data
3.1. Bivariate Data
Weighing Your Fish with a Ruler
Two Qualitative Variables
One Qualitative and One Quantitative Variable
Two Quantitative Variables
Section 3.1 Exercises
3.2. Linear Correlation
Understanding the Linear Correlation Coefficient
Causation and Lurking Variables
Section 3.2 Exercises
3.3. Linear Regression
Making Predictions
Understanding the Line of Best Fit
Section 3.3 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
4. Probability
4.1. Probability of Events
Sweet Statistics
Properties of Probability Numbers
How Are Empirical and Theoretical Probabilities Related?
Probabilities as Odds
Comparison of Probability and Statistics
Section 4.1 Exercises
4.2. Conditional Probability of Events
Section 4.2 Exercises
4.3. Rules of Probability
Finding the Probability of “Not A”
Finding the Probability of “A or B”
Finding the Probability of “A and B”
Section 4.3 Exercises
4.4. Mutually Exclusive Events
Special Addition Rule
Section 4.4 Exercises
4.5. Independent Events
Special Multiplication Rule
Section 4.5 Exercise
4.6. Are Mutual Exclusiveness and Independence Related?
Mutually Exclusive
Independence
Section 4.6 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
5. Probability Distributions (Discrete Variables)
5.1. Random Variables
USA and Its Automobiles
Section 5.1 Exercises
5.2. Probability Distributions of a Discrete Random Variable
Mean and Variance of a Discrete Probability Distribution
Section 5.2 Exercises
The Binomial Probability Distribution
Mean and Standard Deviation of the Binomial Distribution
Section 5.3 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
6. Normal Probability Distributions
6.1. Normal Probability Distributions
Intelligence Scores
Section 6.1 Exercises
6.2. The Standard Normal Distribution
Section 6.2 Exercises
6.3. Applications of Normal Distributions
Additional Insight
Section 6.3 Exercises
6.4. Notation
Section 6.4 Exercises
6.5. Normal Approximation of the Binomial
Section 6.5 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
7. Sample Variability
7.1. Sampling Distributions
Everyday Sampling
Population Sampling
Section 7.1 Exercises
7.2. The Sampling Distribution of Sample Means
Section 7.2 Exercises
7.3. Application of the Sampling Distribution of Sample Means
Section 7.3 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
8. Introduction to Statistical Inferences
8.1. The Nature of Estimation
Are We Taller or Shorter Today?
Section 8.1 Exercises
8.2. Estimation of Mean μ (σ Known)
Sample Size
Section 8.2 Exercises
8.3. The Nature of Hypothesis Testing
Section 8.3 Exercises
8.4. Hypothesis Test of Mean μ (σ Known): A Probability-Value Approach
Section 8.4 exercises
8.5. Hypothesis Test of Mean μ (σ Known): A Classical Approach (Optional)
Section 8.5 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
9. Inferences Involving One Population
9.1. Inferences About the Mean μ (σ Unknown)
Floor to Door
Using the t-Distribution Table (Table 6, Appendix B)
Confidence Interval Procedure
Hypothesis-Testing Procedure
Section 9.1 Exercises
9.2. Inferences about the Binomial Probability of Success
Confidence Interval Procedure
Determining the Sample Size
Hypothesis-Testing Procedure
Relationship between Confidence Intervals and Hypothesis Tests
Section 9. 2 Exercises
9.3. Inferences about the Variance and Standard Deviation
Hypothesis-Testing Procedure
Section 9.3 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
10. Inferences Involving Two Populations
10.1. Dependent and Independent Samples
Battle of the Sexes—Commute Time
Section 10.1 Exercises
10.2. Inferences Concerning the Mean Difference Using Two Dependent Samples
Procedures and Assumptions for Inferences Involving Paired Data
Confidence Interval Procedure
Hypothesis-Testing Procedure
Section 10.2 Exercises
10.3. Inferences Concerning the Difference between Means Using Two Independent Samples
Confidence Interval Procedure
Hypothesis-Testing Procedure
Section 10.3 Exercises
10.4. Inferences Concerning the Difference between Proportions Using Two Independent Samples
Confidence Interval Procedure
Hypothesis-Testing Procedure
Section 10.4 Exercises
10.5. Inferences Concerning the Ratio of Variances Using Two Independent Samples
Calculating the p-value When Using the F-distribution
Critical F-Values for One- and Two-Tailed Tests
Section 10.5 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
11. Applications of Chi-Square
11.1. Chi-Square Statistic
Cooling a Great Hot Taste
Data Set-Up
Outline of Test Procedure
Section 11.1 Exercises
11.2. Inferences Concerning Multinomial Experiments
Section 11.2 Exercises
11.3. Inferences Concerning Contingency Tables
Test of Independence
Test of Homogeneity
Section 11.3 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
12. Analysis of Variance
12.1. Introduction to the Analysis of Variance Technique
The Morning Rush
Section 12.1 Exercises
12.2. The Logic behind ANOVA
Section 12.2 Exercises
12.3. Applications of Single-Factor ANOVA
Section 12.3 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
13. Linear Correlation and Regression Analysis
13.1. Linear Correlation Analysis
Height Compatibility
Section 13.1 Exercises
13.2. Inferences about the Linear Correlation Coefficient
Confidence Interval Procedure
Hypothesis-Testing Procedure
Section 13.2 Exercises
13.3. Linear Regression Analysis
Section 13.3 Exercises
13.4. Inferences Concerning the Slope of the Regression Line
Confidence Interval Procedure
Hypothesis-Testing Procedure
Section 13.4 Exercises
13.5. Confidence Intervals for Regression
Section 13.5 Exercises
13.6. Understanding the Relationship between Correlation and Regression
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
Chapter Exercises
Chapter Practice Test
14. Elements of Nonparametric Statistics
14.1. Nonparametric Statistics
How Teenagers See Things
Comparing Statistical Tests
Power and Efficiency Criteria
14.2. The Sign Test
Single-Sample Confidence Interval Procedure
Single-Sample Hypothesis-Testing Procedure
Two-Sample Hypothesis-Testing Procedure
Normal Approximation
Section 14.2 Exercise
14.3. The Mann—Whitney U Test
Hypothesis-Testing Procedure
Normal Approximation
Section 14.3 Exercises
14.4. The Runs Test
Calculating the р-Value when Using the Runs Test
Normal Approximation
Section 14.4 Exercises
14.5. Rank Correlation
Calculating the р-Value for the Spearman Rank Correlation Test
Section 14.5 Exercises
In Retrospect
Vocabulary and Key Concepts
Learning Outcomes
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Tags: Robert Johnson, Patricia Kuby, Elementary, Statistics