Statistics for management and economics
著者
書誌事項
Statistics for management and economics
Duxbury Press, c1999
Abbreviated 4th ed
- pbk. : alk. paper
大学図書館所蔵 全5件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
System requirements for accompanying computer disc: Windows 95, 3.1, and NT ; Macintosh
Includes bibliographical refarences and index
内容説明・目次
内容説明
This is the abbreviated edition of "Statistics for Management and Economics". The authors systematically teach students what statisticians do - solve problems - focusing on the relationship between the type of problem, the type of data involved, the appropriate technique, and interpreting results. The book includes Data Analysis Plus statistical add-ins for Excel. This greatly expands Excel's capability to be used throughout the course. Step-by-step sited instructions are included. Realistic applications and the use of statistical software and spreadsheets are designed to motivate and show readers how statistics are relevant to their future careers. Each in-text example utilizes the authors' effective problem-solving approach: 1) identify the appropriate techniques; 2) solve the problem (by hand, with Minitab, with Excel); and 3) interpret results (What does the solution mean in the context of the problem?).
目次
1. WHAT IS STATISTIC?. Introduction to Statistics. Key Statistical Concepts. How Managers Use Statistics. Statistics and the Computer. World Wide Web and Learning Center. Part I. DESCRIPTIVE TECHNIQUES AND PROBABILITY. 2. Graphical Descriptive Techniques. Introduction. Types of Data. Graphical Techniques for Quantitative Data. Scatter Diagrams. Pie Charts, Bar Charts, and Line Charts. Summary. Case 2.1 Pacific Salmon Catches. Case 2.2 Bombardier Inc. Case 2.3 The North American Free Trade Agreement (NAFTA). Appendix 2.A Minitab Instructions. Appendix 2.B Excel Instructions. 3. Art and Science of Graphical Presentations. Introduction. Graphical Excellence. Graphical Deception. Summary. Case 3.1 Canadian Federal Budget. 4. Numerical Descriptive Measures. Introduction. Measures of Central Location. Measures of Variability. Interpreting Standard Deviation. Measures of Relative Standing and Box Plots. Measures of Association. General Guidelines on the Exploration of Data. Summary. Appendix 4.A Minitab Instructions. Appendix 4.B Summation Notation. 5. Data Collection and Sampling. Introduction. Sources of Data. Sampling. Sampling Plans. Errors Involved in Sampling. Use of Sampling in Auditing. Summary. 6. Probability and Discrete Probability Distributions. Introduction. Assigning Probabilities to Events. Probability Rules and Trees. Random Variables and Probability Distributions. Expected Value and Variance. Bivariate Distributions. Binomial Distribution. Poisson Distribution. Summary. Case 6.1 Let's Make a Deal. Case 6.2 Gains from Market Timing. Case 6.3 Calculating Probabilities Associated with the Stock Market. Appendix 6.A Minitab Instructions. Appendix 6.B Excel Instructions. 7. Continuous Probability Distributions. Introduction. Continuous Probability Distributions. Normal Distribution. Exponential Distribution. Summary. Appendix 7.A Minitab Instructions. Appendix 7.B Excel Instructions. Part II. STATISTICALl INFERENCE. 8. Sampling Distributions. Introduction. Sampling Distribution of the Mean. Summary. 9. Introduction to Estimation. Introduction. Concepts of Estimation. Estimating the Population Mean When the Population Variance Is Known. Selecting the Sample Size. Summary. Appendix 9.A Minitab Instructions. Appendix 9.B Excel Instructions. 10. Introduction to Hypothesis Testing. Introduction. Concepts of Hypothesis Testing. Testing the Population Mean When the Population Variance Is Known. The p-Value of a Test of Hypothesis. Calculating the Probability of a Type II Error. The Road Ahead. Summary. Appendix 10.A Minitab Instructions. Appendix 10.B Excel Instructions. 11. Inference about the Description of a Single Population. Introduction. Inference about a Population Mean When the Population Variance Is Unknown. Inference about a Population Variance. Inference about a Population Proportion. The Myth of the Law of Averages. Case 11.1 Number of Uninsured Motorists. Case 11.2 National Patent Development Corporation.
「Nielsen BookData」 より