Elementary statistics : a step by step approach

書誌事項

Elementary statistics : a step by step approach

Allan G. Bluman

(International student edition)

McGraw-Hill, c2023

11th ed., international student ed

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注記

Includes index

内容説明・目次

内容説明

Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows a non-theoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a range of topics, including problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, and travel. The text is strengthened by its offering in ALEKS, now featuring Custom Question Authoring, Video Assignments, interactive tools, and more! ALEKS is a course assistant that helps math instructors forge Constructive Learning Paths for their students – blending personalized modules with instructor-driven assignments to ensure every student always has another block to build on their knowledge base.

目次

CHAPTER 1: The Nature of Probability and Statistics CHAPTER 2: Frequency Distributions and Graphs CHAPTER 3: Data Description CHAPTER 4: Probability and Counting Rules CHAPTER 5: Discrete Probability Distributions CHAPTER 6: The Normal Distribution CHAPTER 7: Confidence Intervals and Sample Size CHAPTER 8: Hypothesis Testing CHAPTER 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances CHAPTER 10: Correlation and Regression CHAPTER 11: Other Chi-Square Tests CHAPTER 12: Analysis of Variance CHAPTER 13: Nonparametric Statistics CHAPTER 14: Sampling and Simulation

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詳細情報

  • NII書誌ID(NCID)
    BD02876140
  • ISBN
    • 9781265248123
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York
  • ページ数/冊数
    xxiii, 827, 43, 4 p.
  • 大きさ
    28 cm
  • 分類
  • 件名
  • 親書誌ID
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