BUSINESS STATISTICS Theory and Applications – JANI, P.N.

BUSINESS STATISTICS Theory and Applications

BUSINESS STATISTICS Theory and Applications
JANI, P.N.
PRINT EDITION PAGES: 632
ISBN: 978-81-203-4985-8
Pages: 632
Binding: Paper Back
PRINT EDITION PRICE: R 495.00
NOW! Available in: R 396.00

EBOOK PRICE: R495.00
NOW! Available in: R 421.00

  

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About The Book


Description:
The primary objective of this text is to help students to think clearly and critically and apply the knowledge of Business Statistics in decision making when solving business problems.

The book introduces the need for quantitative analysis in business and the basic procedures in problem solving. Following an application-based theory approach, the book focuses on data collection, data presentation, summarizing and describing data, basic probability, and statistical inference. A separate chapter is devoted to show how Microsoft Excel can be used to solve problems and to make statistical analyses. It contains specimen Excel Worksheets illustrating how the problems of each chapter are solved using Excel functions and formulas. A large number of real–world business problems from various business professions such as finance, medical, psychology, sociology, and education are also included.

This textbook is primarily intended for the undergraduate and postgraduate students of management and postgraduate students of commerce.

The text helps students to:
•  Understand the meaning and use of statistical terms used in business statistics
•  Use graphical and descriptive statistics to identify the need for statistical inference techniques
•  Perform statistical analyses
•  Interpret the results of statistical analyses
•  Apply statistical inference techniques in business situations
•  Use computer spreadsheet software to perform statistical analysis on data
•  Choose the appropriate statistical tool from the collection of standard analytic methods


Contents:
Preface

1.    Basics of Statistics and Data Collection Techniques

2.    Organising and Presenting Data

3.    Summarising Data: Measures of Central Tendency and Dispersion

4.    Summarising Data: Other Measures

5.    Probability: A Measure of the Uncertainty

6.    Probability Distributions: Discrete Families

7.    Probability Distributions: Continuous Families

8.    Making Inferences and Conclusions—Statistical Inference 1: Estimation

9.    Statistical Inference 2: Basics of Testing of Hypothesis, One and Two Sample Tests

10.  Statistical Inference 3: Chi-square, Analysis of Variance, and Other Tests

11.  Statistical Inference 4: Non-Parametric Tests

12.  Simple Regression and Correlation Analyses

13.  Multiple Regression Analysis

14.  Time Series Analysis and Forecasting

15.  Index Numbers

16.  Statistical Computations and Analysis Using Excel

References • Statistical Tables

Answers of the Selected Odd Numbered Chapter Exercises

Index

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