Introductory StatisticsWeiss Introductory Statistics is intended for a one- or two-semester introductory statistics course. Students learn the core statistical concepts in an applied setting, and can access more advanced topics (multiple regression, ANOVA, and Experimental Design) through chapters available on the WeissStat CD. With advances in technology and new insights into the practice of teaching statistics, the sixth edition can now easily fit the organization and pace of various course syllabi and technologies in use. The book offers a flexible organization of content and has a more diversified emphasis on using technology such as Minitab, the TI-83 Plus graphing calculator, Excel, and the Internet to investigate statistical problems. *NEW! All New Design. We have redesigned the text and now feature a four-color format for improved readability and understanding. *NEW! What Does It Mean? This feature, which appears throughout the book, presents the meaning and significance of the statistical results in plain, everyday language and emphasizes the importance of interpretation. *NEW! Technology Coverage. Students are introduced to technology at the section level with Minitab, Excel, and the TI-83 Plus |
Common terms and phrases
age and price alternative hypothesis assumptions binomial boxplot chi-square Compute Concepts and Skills confidence interval confidence level critical value data provide sufficient data set denote Determine difference discrete random variable estimate event evidence to conclude Example Explain your answer F-curve formula frequency histogram gas mileage graph histogram hypothesis test independent samples Key Fact Kruskal-Wallis test Left-tailed Mann-Whitney test margin of error median Minitab normal probability plot null hypothesis obtain one-way ANOVA Orions outliers P-value percentage perform a hypothesis population mean population standard deviation possible sample press ENTER Printout probability distribution procedure provide sufficient evidence random variable Refer to Exercise regression equation regression line Right-tailed sample data sample mean sample standard deviation sampling distribution scores shown in Fig significance level simple random sampling specified standard normal curve stem-and-leaf diagram Step test statistic text box Two-tailed variable under consideration weight Wilcoxon signed-rank test z-interval z-score