Statistics for economics / Shahdad Naghshpour.

Format:

Book

Author/Creator:

Naghshpour, Shahdad., author.

Series:

Economics collection. 2163-7628

Economics collection, 2163-7628

Language:

English

Subjects (All):

Economics--Statistical methods.

Economics.

Physical Description:

1 online resource (xix, 195 pages)

Edition:

Second edition.

Place of Publication:

New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Summary:

Statistics is the branch of mathematics that deals with real life problems. As such, it is an essential tool for economists. Unfortunately, the way the concept is introduced to students is not compatible with the way economists think and learn. The problem is worsened by the use of mathematical jargon and complex derivations. However, as this book demonstrates, neither is necessary. The book is written in simple English with minimal use of symbols, mostly for the sake of brevity and to make reading literature more meaningful. All the examples and exercises in the book are constructed within the field of economics, thus eliminating the difficulty of learning statistics with examples from fields that have no relation to business, politics, or policy. Statistics is in fact, no more difficult than economics. Anyone that can comprehend economics can understand and use statistics successfully within this field.

Contents:

1. Descriptive statistics

2. Numerical descriptive statistics for quantitative variables

3. Some applications of descriptive statistics

4. Distribution functions

5. Sampling distribution of sample statistics

6. Point and interval estimation

7. Statistical inference with test of hypothesis

8. An introduction to regression analysis

9. Conclusion

Glossary

References

Index.

Notes:

Includes bibliographical references (pages 189-190) and index.

Title from PDF title page (viewed on January 19, 2016).

ISBN:

9781631573903

163157390X

OCLC:

935736469