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Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences. KEY TOPICS: Introduction to Statistics; Data; Surveys and Sampling; Displaying and Describing Categorical Data; Displaying and Describing Quantitative Data; Scatterplots, Association, and Correlation; Introduction to Linear Regression; Randomness and Probability; Random Variables and Probability Distributions; Sampling Distributions; Confidence Intervals for Proportions; Testing Hypotheses about Proportions; Confidence Intervals and Hypothesis Tests for Means; Comparing Two Means; Design of Experiments and Analysis of Variance (ANOVA); Inference for Counts: Chi-Square Tests; Nonparametric Methods; Inference for Regression; Understanding Regression Residuals; Multiple Regression; Building Multiple Regression Models; Time Series Analysis; Decision Making and Risk; Quality Control MARKET: Appropriate for the Intro to Business Statistics-One or Two Term course.
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Authors: Norean Radke Sharpe, Norean D. Sharpe, Richard D. De Veaux, Paul F. Velleman, Paul D. Velleman, David John Wright
Publisher: N/A
Publication Day: 2017-01-02
MSRP:
ISBN-10: 133899128
ISBN-13: 9780133899122
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Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences. KEY TOPICS: Introduction to Statistics; Data; Surveys and Sampling; Displaying and Describing Categorical Data; Displaying and Describing Quantitative Data; Scatterplots, Association, and Correlation; Introduction to Linear Regression; Randomness and Probability; Random Variables and Probability Distributions; Sampling Distributions; Confidence Intervals for Proportions; Testing Hypotheses about Proportions; Confidence Intervals and Hypothesis Tests for Means; Comparing Two Means; Design of Experiments and Analysis of Variance (ANOVA); Inference for Counts: Chi-Square Tests; Nonparametric Methods; Inference for Regression; Understanding Regression Residuals; Multiple Regression; Building Multiple Regression Models; Time Series Analysis; Decision Making and Risk; Quality Control MARKET: Appropriate for the Intro to Business Statistics-One or Two Term course.
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