Description

Book Synopsis

From its origins in 1976, Statistical Techniques in Business and Economics has become a best seller, providing students across the business specialisms with an introductory survey of descriptive and inferential statistics. With a step-by-step approach and clear writing style, any student can learn and succeed in Business Statistics.

The new edition includes a focus on the development of basic data analytical skills. Microsoft Excel, Minitab, and MegaStat are used throughout the text to illustrate statistical software analyses, and screen captures are used within the chapters, so the student becomes familiar with the nature of the software output. Additional resources are available online through Connect, with references or links in the text to Excel tutorials that provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and analyses to test hypotheses.


What''s changed:

The Nineteenth Edition

Table of Contents

1 What Is Statistics?

2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

3 Describing Data: Numerical Measures

4 Describing Data: Displaying and Exploring Data

5 A Survey of Probability Concepts

6 Discrete Probability Distributions

7 Continuous Probability Distributions

8 Sampling, Sampling Methods, and the Central Limit Theorem

9 Estimation and Confidence Intervals

10 One-Sample Tests of Hypothesis

11 Two-Sample Tests of Hypothesis

12 Analysis of Variance

13 Correlation and Linear Regression

14 Multiple Regression Analysis

15 Nonparametric Methods Nominal Level Hypothesis Tests

16 Nonparametric Methods: Analysis of Ordinal Data

17 Index Numbers

18 Forecasting with Time Series Analysis

19 Statistical Process Control and Quality Management

20 An Introduction to Decision Theory (Online Only)

Appendixes

Appendixes, Data Sets, Tables, Software Commands, Answers


Statistical Techniques in Business and Economics

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    £56.99

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    RRP £59.99 – you save £3.00 (5%)

    Order before 4pm tomorrow for delivery by Sat 20 Jun 2026.

    A Paperback / softback by Douglas Lind, William Marchal, Samuel Wathen

    2 in stock

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      View other formats and editions of Statistical Techniques in Business and Economics by Douglas Lind

      Publisher: McGraw-Hill Education
      Publication Date: 27/02/2023
      ISBN13: 9781266283536, 978-1266283536
      ISBN10: 1266283536

      Description

      Book Synopsis

      From its origins in 1976, Statistical Techniques in Business and Economics has become a best seller, providing students across the business specialisms with an introductory survey of descriptive and inferential statistics. With a step-by-step approach and clear writing style, any student can learn and succeed in Business Statistics.

      The new edition includes a focus on the development of basic data analytical skills. Microsoft Excel, Minitab, and MegaStat are used throughout the text to illustrate statistical software analyses, and screen captures are used within the chapters, so the student becomes familiar with the nature of the software output. Additional resources are available online through Connect, with references or links in the text to Excel tutorials that provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and analyses to test hypotheses.


      What''s changed:

      The Nineteenth Edition

      Table of Contents

      1 What Is Statistics?

      2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

      3 Describing Data: Numerical Measures

      4 Describing Data: Displaying and Exploring Data

      5 A Survey of Probability Concepts

      6 Discrete Probability Distributions

      7 Continuous Probability Distributions

      8 Sampling, Sampling Methods, and the Central Limit Theorem

      9 Estimation and Confidence Intervals

      10 One-Sample Tests of Hypothesis

      11 Two-Sample Tests of Hypothesis

      12 Analysis of Variance

      13 Correlation and Linear Regression

      14 Multiple Regression Analysis

      15 Nonparametric Methods Nominal Level Hypothesis Tests

      16 Nonparametric Methods: Analysis of Ordinal Data

      17 Index Numbers

      18 Forecasting with Time Series Analysis

      19 Statistical Process Control and Quality Management

      20 An Introduction to Decision Theory (Online Only)

      Appendixes

      Appendixes, Data Sets, Tables, Software Commands, Answers


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