Statistical reasoning for everyday life

書誌事項

Statistical reasoning for everyday life

Jeffrey Bennett, William L. Briggs, Mario F. Triola

Pearson, c2014

4th ed., international ed

  • : pbk

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注記

Includes index

内容説明・目次

内容説明

Statistical Reasoning for Everyday Life, Fourth Edition, provides students with a clear understanding of statistical concepts and ideas so they can become better critical thinkers and decision makers, whether they decide to start a business, plan for their financial future, or just watch the news. The authors bring statistics to life by applying statistical concepts to the real world situations, taken from news sources, the internet, and individual experiences. Note: This is the standalone book If you want the Book/Access Card you can order the ISBN below ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. NOTE: Make sure to use the dashes shown on the Access Card Code when entering the code. Student can use the URL and phone number below to help answer their questions: http://247pearsoned.custhelp.com/app/home 800-677-6337 0321890132 / 9780321890139 Statistical Reasoning for Everyday Life Plus NEW MyStatLab with Pearson eText -- Access Card Package 4/e Package consists of: 0321817621 / 9780321817624 Statistical Reasoning for Everyday Life 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages

目次

Preface Supplements To the Student: How to Succeed in Your Statistics Course Applications Index 1. Speaking of Statistics 1.1 What Is/Are Statistics? 1.2 Sampling 1.3 Types of Statistical Studies 1.4 Should You Believe a Statistical Study? Focus on Psychology: Are You Driving "Drunk" on Your Cell Phone? Focus on Public Health: Is Your Lifestyle Healthy? 2. Measurement in Statistics 2.1 Data Types and Levels of Measurement 2.2 Dealing with Errors 2.3 Uses of Percentages in Statistics 2.4 Index Numbers Using Technology: Inflation Calculator Focus on Politics: Who Benefited Most from Lower Tax Rates? Focus on Economics: Can a Redefined CPI Help Solve the Budget Crisis? 3. Visual Displays of Data 3.1 Frequency Tables Using Technology: Frequency Tables 3.2 Picturing Distributions of Data Using Technology: Bar Graphs Using Technology: Pie Charts Using Technology: Line Charts and Histograms 3.3 Graphics in the Media Using Technology: Graphs with Multiple Data Sets 3.4 A Few Cautions About Graphics Focus on History: Can War Be Described with a Graph? Focus on Environment: Are We Changing Earth's Atmosphere? 4. Describing Data 4.1 What Is Average? Using Technology: Mean, Median, and Mode 4.2 Shapes of Distributions 4.3 Measures of Variation Using Technology: Boxplots Using Technology: Standard Deviation 4.4 Statistical Paradoxes Focus on the Stock Market: What's Average About the Dow? Focus on Economics: Are the Rich Getting Richer? 5. A Normal World 5.1 What Is Normal? 5.2 Properties of the Normal Distribution Using Technology: Standard Scores in Excel Using Technology: Standard Scores and Percentiles 5.3 The Central Limit Theorem Focus on Education: What Can We Learn from SAT Trends? Focus on Psychology: Are We Smarter than Our Parents? 6. Probability in Statistics 6.1 The Role of Probability in Statistics: Statistical Significance 6.2 Basics of Probability 6.3 The Law of Large Numbers 6.4 Ideas of Risk and Life Expectancy 6.5 Combining Probabilities (Supplementary Section) Focus on Social Science: Do Lotteries Harm the Poor? Focus on Law: Is DNA Fingerprinting Reliable? 7. Correlation and Causality 7.1 Seeking Correlation Using Technology: Scatterplots and Correlation Coefficients 7.2 Interpreting Correlations 7.3 Best-Fit Lines and Prediction 7.4 The Search for Causality Focus on Education: What Helps Children Learn to Read? Focus on Environment: What Is Causing Global Warming? 8. From Samples to Populations 8.1 Sampling Distributions 8.2 Estimating Population Means Using Technology: Confidence Interval Estimate of a Population Mean 8.3 Estimating Population Proportions Using Technology: Confidence Interval Estimate of a Population Proportion Focus on History: Where Did Statistics Begin? Focus on Literature: How Many Words Did Shakespeare Know? 9. Hypothesis Testing 9.1 Fundamentals of Hypothesis Testing 9.2 Hypothesis Tests for Population Means Using Technology: Hypothesis Test for a Population Mean 9.3 Hypothesis Tests for Population Proportions Using Technology: Hypothesis Test for a Population Proportion Focus on Health and Education: Will Your Education Help You Live Longer? Focus on Agriculture: Are Genetically Modified Foods Safe? 10. t Tests, Two-Way Tables, and ANOVA 10.1 t Distribution for Inferences about a Mean Using Technology: The t Distribution 10.2 Hypothesis Testing with Two-Way Tables Using Technology: Hypothesis Testing with Two-Way Tables 10.3 Analysis of Variance (One-Way Anova) Using Technology: Analysis of Variance Focus on Criminology: Can You Tell a Fraud When You See One? Focus on Education: What Can a Fourth-Grader Do with Statistics? Epilogue: A Perspective on Statistics Appendix A: z-Score Tables Appendix B: Table of Random Numbers Suggested Readings Credits Glossary Answers Index

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詳細情報

  • NII書誌ID(NCID)
    BB13611245
  • ISBN
    • 9780321904645
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Boston
  • ページ数/冊数
    xxvii, 388, 21, 8 p.
  • 大きさ
    28 cm
  • 付属資料
    1 CD-ROM (4 3/4 in.)
  • 分類
  • 件名
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