Instant download Solutions Manual to accompany Statistical Reasoning for Everyday Life 3rd edition pdf docx epub after payment.
Product details:
- ISBN-10 : 0321286723
- ISBN-13 : 978-0321286727
- Author: Jeffrey Bennett; William L. Briggs; Mario F. Triola
- Statistical Reasoning for Everyday Life, Third Edition, teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas. The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news. KEY TOPICS: Speaking of Statistics; Measurement in Statistics; Visual Displays of Data; Describing Data; A Normal World; Probability in Statistics; Correlation and Causality; From Samples to Populations; Hypothesis Testing; t Tests, Two-Way Tables, and ANOVA. MARKET: For all readers interested in statistics.
Table Of Contents:
Part I: Descriptive Statistics. Frequency Distributions and Percentiles. Central Tendency and Variability. z Scores and Normal Distributions. Part II: Introduction to Inferential Statistics. Overview of Inferential Statistics. Probability. Sampling Distributions. Logic of Hypothesis Testing. Power. Logic of Parameter Estimation. Part III: Applications of Inferential Statistics. Inferences About Population Proportions Using the z Statistic. Inferences About µ When o Is Unknown: The Single Sample t Test. Comparing Two Populations: Independent Samples. Random Sampling, Random Assignment, and Causality. Comparing Two Populations: Dependent Samples. Comparing Two Population Variances: The F Statistic. Comparing Multiple Population Means: One-Factor ANOVA. Introduction to Factorial Designs. Computational Methods for the Factorial ANOVA. Describing Linear Relationships: Regression. Measuring the Strength of Linear Relationships: Correlation. Inferences From Nominal Data: The X² Statistic.
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