Business Statistics with Solutions in R / / Mustapha Abiodun Akinkunmi.

• Superior document: Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019
• VerfasserIn: Akinkunmi, Mustapha Abiodun,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2019]; ©2019
• Year of Publication: 2019
• Language: English
• Physical Description: 1 online resource (XII, 264 p.)
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781547401352; 9783110719567; 9783110610765; 9783110664232; 9783110606065; 9783110610130
• DOI: 10.1515/9781547401352
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Mustapha Abiodun Akinkunmi.

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.