Business Statistics with Solutions in R / Mustapha Abiodun Akinkunmi.

Format:

Book

Author/Creator:

Akinkunmi, Mustapha, Author.

Language:

English

Subjects (All):

R (Computer program language).

Commercial statistics--Data processing.

Commercial statistics.

Mathematical statistics--Data processing.

Mathematical statistics.

Statistics--Data processing.

Statistics.

Physical Description:

1 online resource (xii, 263 pages) : illustrations

Place of Publication:

Berlin ; Boston : De Gruyter, [2019]

Language Note:

In English.

Summary:

Business Statistics with Solutions in R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and draw meaningful inferences that can be used to improve decisions. It will enable readers to develop computational skills and problem-solving competence using the open source language, R. Mustapha Abiodun Akinkunmi uses real life business data for illustrative examples while discussing the basic statistical measures, probability, regression analysis, significance testing, correlation, the Poisson distribution, process control for manufacturing, time series analysis, forecasting techniques, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers, professionals, academics and individuals interested in the areas of business statistics, applied statistics, statistical computing, finance, management and econometrics.

Contents:

Frontmatter

Contents

1. Introduction to Statistical Analysis

2. Introduction to R Software

3. Descriptive Statistics

4. Basic Probability Concepts

5. Discrete Probability Distributions

6. Continuous Probability Distributions

7. Other Continuous Probability Distributions

8. Sampling and Sampling Distribution

9. Confidence Intervals for Single Population Mean and Proportion

10. Hypothesis Testing for Single Population Mean and Proportion

11. Regression Analysis and Correlation Analysis

12. Poisson Distribution

13. Uniform Distributions

14. Time Series Analysis

APPENDIX

Index

Notes:

Includes index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Apr 2020)

ISBN:

9781547401376

1547401370

9781547401352

1547401354

OCLC:

1129198487