KEY MESSAGE: Weiss Introductory Statistics, Eighth Edition, features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data. This book develops statistical thinking over rote drill and practice. The Nature of Statistics; Organizing Data; Descriptive Measures; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Menu; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA) For all readers interested in Introductory Statistics.
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alternative hypotheses apply approximately assumptions binomial boxplot column of Table Computer exercise confidence interval curve with parameters data provide sufficient data set data values denote discrete random variable displayed equal estimate event evidence to conclude Example graph histogram hypothesis test income independent samples Interpret your result Key Fact Kruskal-Wallis test linear median Minitab output Nissan Zs normal probability plot normally distributed population null and alternative null hypothesis obtain one-way ANOVA outliers P-value percentage perform a hypothesis population mean population standard deviation prediction prediction interval Printout probability distribution procedure provide sufficient evidence random sample random variable randomly selected Refer to Exercise regression equation regression line reject H0 relative-frequency right-tailed sample data sample mean sample standard deviation sampling distribution score significance level simple random sample specified standard normal curve statistical software stem-and-leaf diagram Step sum of squares Suppose test statistic weight Wilcoxon signed-rank test z-score z-test