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For one-semester courses in business statistics. This text offers a streamlined presentation of Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman.
Better Decisions. Better Results.
Business Statistics: A First Course, Third Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice-relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues-with an emphasis on analysis and understanding over computation-the text helps students think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results.
KEY TOPICS: EXPLORING AND COLLECTING DATA: Data and Decisions, Displaying and Describing Categorical Data, Displaying and Describing Quantitative Data, Correlation and Linear Regression, MODELING WITH PROBABILITY: Randomness and Probability, Random Variables and Probability Models, The Normal and Other Continuous Distributions, Surveys and Sampling, Sampling Distributions and Confidence Intervals for Proportions, INFERENCE FOR DECISION MAKING: Testing Hypotheses about Proportions, Confidence Intervals and Hypothesis Tests for Means, Comparing Two Means, Inference for Counts: Chi-Square Tests, Inference for Regression, Multiple Regression, SELECTED TOPICS IN DECISION MAKING: Introduction to Data Mining
MARKET: For all readers interested in business statistics.
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For one-semester courses in business statistics. This text offers a streamlined presentation of Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman.
Better Decisions. Better Results.
Business Statistics: A First Course, Third Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice-relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues-with an emphasis on analysis and understanding over computation-the text helps students think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results.
KEY TOPICS: EXPLORING AND COLLECTING DATA: Data and Decisions, Displaying and Describing Categorical Data, Displaying and Describing Quantitative Data, Correlation and Linear Regression, MODELING WITH PROBABILITY: Randomness and Probability, Random Variables and Probability Models, The Normal and Other Continuous Distributions, Surveys and Sampling, Sampling Distributions and Confidence Intervals for Proportions, INFERENCE FOR DECISION MAKING: Testing Hypotheses about Proportions, Confidence Intervals and Hypothesis Tests for Means, Comparing Two Means, Inference for Counts: Chi-Square Tests, Inference for Regression, Multiple Regression, SELECTED TOPICS IN DECISION MAKING: Introduction to Data Mining
MARKET: For all readers interested in business statistics.