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Loose Leaf Version for Elementary Statistics, 4th Edition provides the student a detailed overview of elementary statistics concepts, including conditional probability and the multiplication rule, the Poisson distribution, applications of the normal distribution, the Central Limit Theorem for proportions, hypothesis testing for a standard deviation, confidence intervals for the difference between two means, testing goodness of fit, among others. This textbook is direct and concise with systematic content designed to engage today’s student through visually engaging content. There is a wide variety of assignment types that help students master elementary statistics concepts & build real-world working capability. Loose Leaf Version for Elementary Statistics, 4th Edition goes into inference on the slope of the regression line, one-way analysis of variance, the rank-sum test, graphical summaries for qualitative data, frequency distributions and their graphs, graphs can be misleading, and measures of spread. A chapter is broken down into summarizing bivariate data. Buy the textbook Loose Leaf Version for Elementary Statistics, 4th Edition and be confident in your elementary statistics education and career.
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