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For courses in Introductory Statistics (algebra-based).
This package includes MyLab Statistics.
Simplifies statistics through practice and real-world applications
Elementary Statistics: Picturing the World with Integrated Review and Worksheets makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content for 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, and 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 instructors 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.
0134761413 / 9780134761411 Elementary Statistics: Picturing the World with Integrated Review and Worksheets plus MyLab Statistics with Pearson e-Text -- Access Card Package, 7/e
Package consists of:
0134683412 / 9780134683416 Elementary Statistics: Picturing the World, 7/e
0134761995 / 9780134761992 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Elementary Statistics: Picturing the World with Integrated Review, 7/e
013476207X / 9780134762074 Worksheets for Elementary Statistics: Picturing the World with Integrated Review, 7/e
Contents
Chapter IR1
IR1.1 Reading Graphs (Section 1.1)
IR1.2 Basic Mathematical Symbols and Greek Letters (Section 1.1)
IR1.3 Percents (Section 1.1)
IR1.4 Addition and Subtraction of Integers (Section 1.2)
Chapter 1: Introduction to Statistics
1.1 An Overview of Statistics
1.2 Data Classification
1.3 Data Collection and Experimental Design
Chapter IR2
IR2.1 Multiplication and Division of Integers (Section 2.1)
IR2.2 Order of Operations (Section 2.1)
IR2.3 Operations with Fractions and Decimals (Section 2.1)
IR2.4 Significant Digits and Rounding (Section 2.1)
IR2.5 The Number Line and Ordering Numbers (Section 2.2)
IR2.6 The xy-Plane and Point Plotting (Section 2.1)
IR2.7 Summation (Section 2.1)
IR2.8 Evaluating Formulas (Section 2.1)
IR2.9 Operations with Summations (Section 2.3)
IR2.10 Exponents (Section 2.4)
IR2.11 Operations with Square Roots (Section 2.4)
IR2.12 Division Involving Powers and Square Roots (Section 2.4)
IR2.13 Absolute Value (Section 2.4)
Chapter 2: 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
Chapter IR3
IR3.1 More Multiplication and Division (Section 3.1)
IR3.2 Double Inequalities (Section 3.1)
IR3.3 Translating Verbal Phrases (Section 3.2)
IR3.4 Factorials (Section 3.4)
IR3.5 Operations with Factorials (Section 3.4)
IR3.6 Scientific Notation (Section 3.4)
Chapter 3: 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
Chapter IR4
IR4.1 More Translating Verbal Phrases (Section 4.2)
Chapter 4: Discrete Probability Distributions
4.1 Probability Distributions
4.2 Binomial Distributions
4.3 More Discrete Probability Distributions
Chapter IR5
IR5.1 More Division Involving Square Roots (Section 5.1)
Chapter 5: Normal Probability Distributions
5.1 Introduction to Normal Distributions and the Standard Normal Distribution
5.2 Normal Distributions: Finding Values
5.4 Sampling Distributions and the Central limit Theorem
5.5 Normal Approximations to Binomial Distributions
Chapter IR6
IR6.1 Intervals on the Number Line (Section 6.1)
Chapter 6: Confidence Intervals
6.1 Confidence Intervals for the Mean (σknown)
6.2 Confidence Intervals for the Mean (σunknown)
6.3 Confidence Intervals for Population Proportions
6.4 Confidence Intervals for Variance and Standard Deviation
Chapter 7: Hypothesis Testing with One Sample
7.1 Introduction to Hypothesis Testing
7.2 Hypothesis Testing for the Mean (σknown)
7.3 Hypothesis Testing for the Mean (σunknown)
7.4 Hypothesis Testing for Proportions
7.5 Hypothesis Testing for Variance and Standard Deviation
Chapter 8: Hypothesis Testing with Two Samples
8.1 Testing the Difference Between Means (Independent Samples, σ1 andσ2 Known)
8.2 Testing the Difference Between Means (Independent Samples, σ1 andσ2 Known)
8.3 Testing the Difference Between Means (Dependent Samples)
8.4 Testing the Difference Between Proportions
Chapter IR9
IR7.1 Slope-Intercept Form of the Equation of a Line (Section 9.2)
Chapter 9: Correlation and Regression
9.1 Correlation
9.2 Linear Regression
9.3 Measures of Regression and Prediction Intervals
9.4 Multiple Regression
Chapter 10: 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
Chapter 11: 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
Appendix A: Alternative Presentation of the Standard Normal Distribution
Appendix B: Tables
Appendix C: Normal Probability Plots