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

Product form

£53.99

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RRP £59.99 – you save £6.00 (10%)

Order before 4pm tomorrow for delivery by Mon 5 Jan 2026.

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

15 in stock


    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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