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BestsellerE-book
Author Akinkunmi, Mustapha, author. http://id.loc.gov/vocabulary/relators/aut

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

Publication Info. Berlin ; Boston : De Gruyter, [2019]
©2019

Item Status

Description 1 online resource (XII, 264 pages)
text file PDF
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
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.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Language In English.
Subject R (Computer program language)
R (Computer program language)
Mathematical statistics -- Data processing.
Mathematical statistics -- Data processing.
Statistics -- Data processing.
Statistics -- Data processing.
Commercial statistics -- Data processing.
Commercial statistics -- Data processing.
Genre/Form Electronic books.
Dictionaries.
Dictionaries.
Other Form: Print version: 9781547401376
Print version: 9781547417469
ISBN 1547401354
9781547401352 (electronic book)
9781547417469
1547417463
Standard No. 10.1515/9781547401352