Introductory Statistics

Introductory Statistics

          
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About the Book

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide.   Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.   Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.   This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.   Note: You are purchasing a standalone product; MyStatLab does not come packaged with this content. MyStatLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyStatLab, search for: 0321989406 / 9780321989406     Introductory Statistics Plus MyStatLab with Pearson eText -- Access Card Package Package consists of: 0321847997 / 9780321847997     My StatLab Glue-in Access Card 032184839X / 9780321848390     MyStatLab Inside Sticker for Glue-In Packages 0321989171 / 9780321989178     Introductory Statistics   Students, if interested in purchasing this title with MyStatLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.  

Table of Contents:
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.  


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Product Details
  • ISBN-13: 9780321989178
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Depth: 38
  • Height: 10 mm
  • No of Pages: 848
  • Series Title: English
  • Weight: 1796 gr
  • ISBN-10: 0321989171
  • Publisher Date: 03 Feb 2015
  • Binding: Hardback
  • Edition: 10
  • Language: English
  • Returnable: N
  • Spine Width: 10 mm
  • Width: 10 mm


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