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Full Description
For courses in Introductory Statistics (algebra-based).
This package includes MyLab Statistics.
Describing the world through statistics
Elementary Statistics: Picturing the World makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content to each page to make the material more digestible. The text's combination of theory, pedagogy, and design helps students understand concepts and use statistics to describe and think about the world.
The 7th Edition incorporates a thorough update of key features, examples , exercises, as well as robust technology resources that include StatCrunch®, a new Tech Tips feature, and an Integrated Review version of the MyLab™ Statistics course.
Reach every student by pairing this text with MyLab Statistics
MyLab Statistics is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Learn more about MyLab Statistics.
Contents
I. DESCRIPTIVE STATISTICS
Introduction to Statistics
1.1 An Overview of Statistics
1.2 Data Classification
1.3 Data Collection and Experimental Design
Descriptive Statistics
2.1 Frequency Distributions and Their Graphs
2.2 More Graphs and Displays
2.3 Measures of Central Tendency
2.4 Measures of Variation
2.5 Measures of Position
II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
Probability
3.1 Basic Concepts of Probability and Counting
3.2 Conditional Probability and the Multiplication Rule
3.3 The Addition Rule
3.4 Additional Topics in Probability and Counting
Discrete Probability Distributions
4.1 Probability Distributions
4.2 Binomial Distributions
4.3 More Discrete Probability Distributions
Normal Probability Distributions
5.1 Introduction to Normal Distributions and the Standard Normal Distribution
5.2 Normal Distributions: Finding Probabilities
5.3 Normal Distributions: Finding Values
5.4 Sampling Distributions and the Central Limit Theorem
5.5 Normal Approximations to Binomial Distributions
III. STATISTICAL INFERENCE
Confidence Intervals
6.1 Confidence Intervals for the Mean (S Known)
6.2 Confidence Intervals for the Mean (S Unknown)
6.3 Confidence Intervals for Population Proportions
6.4 Confidence Intervals for Variance and Standard Deviation
Hypothesis Testing with One Sample
7.1 Introduction to Hypothesis Testing
7.2 Hypothesis Testing for the Mean (S Known)
7.3 Hypothesis Testing for the Mean (S Unknown)
7.4 Hypothesis Testing for Proportions
7.5 Hypothesis Testing for Variance and Standard Deviation
Hypothesis Testing with Two Samples
8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)
8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
8.3 Testing the Difference Between Means (Dependent Samples)
8.4 Testing the Difference Between Proportions
IV. MORE STATISTICAL INFERENCE
Correlation and Regression
9.1 Correlation
9.2 Linear Regression
9.3 Measures of Regression and Prediction Intervals
9.4 Multiple Regression
Chi-Square Tests and the F-Distribution
10.1 Goodness-of-Fit Test
10.2 Independence
10.3 Comparing Two Variances
10.4 Analysis of Variance
Nonparametric Tests (Web Only)*
11.1 The Sign Test
11.2 The Wilcoxon Tests
11.3 The Kruskal-Wallis Test
11.4 Rank Correlation
11.5 The Runs Test
* Available at www.pearson.com/math-stats-resources and in MyLab Statistics.
APPENDICES
A. Alternative Presentation of the Standard Normal Distribution
B. Tables
C. Normal Probability Plots
