Understandable Statistics: Concepts and Methods
Cengage Learning, Dec 27, 2007 - Mathematics - 816 pages
Understandable Statistics is a thorough, yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide guidance and informal advice, while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources including journals, periodicals, newspapers, and the Internet. The Ninth Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills through the introduction of new features and exercises throughout the text. Extensive technology resources include a new algorithmic test bank and lecture slides, along with a market-leading DVD series and other resources designed to provide reinforcement for students and support for instructors. The use of graphing calculators, Excel, Minitab, and SPSS is covered though not required.
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This book is terrible! It is vague in it's explanations of it's concepts. I had to use this book for an online course. It is by far, the worst textbook I have ever used. And I have three college degrees!!!!!
Table of Prerequisite Material
Averages and Variation
Elementary Probability Theory
The Binomial Probability Distribution and Related Topics
Introduction to Sampling Distributions
Correlation and Regression
ChiSquare and F Distributions
Appendix I Additional Topics
Appendix II Tables
ANSWERS AND KEY STEPS TO ODDNUMBERED PROBLEMS
alternate hypothesis ANOVA Appendix average binomial distribution binomial experiment binomial probability distribution calculator central limit theorem chi-square chi-square distribution column compute the sample confidence interval confidence level correlation coefficient corresponding Critical Thinking critical value data pairs data values degrees of freedom equation estimate example Explain fail to reject Figure Find a 90 formula frequency graph histogram independent least-squares line level of significance lurking variables margin of error median Minitab null hypothesis number of successes outcomes P-value percentage Poisson Poisson distribution population mean probability distribution q q q random sample random variable regression reject H0 right-tailed sample mean sample standard deviation sample statistic sample test statistic sampling distribution scatter diagram scores Section selected shows significance to test standard normal curve standard normal distribution Statistical Literacy Studentís t distribution Suppose Table test the claim theorem tion variance