Business Statistics with Solutions in R / / 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...
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2019] ©2019 |
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Akinkunmi, Mustapha Abiodun, author. aut http://id.loc.gov/vocabulary/relators/aut Business Statistics with Solutions in R / Mustapha Abiodun Akinkunmi. Berlin ; Boston : De Gruyter, [2019] ©2019 1 online resource (XII, 264 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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 restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Commercial statistics Data processing. Mathematical statistics Data processing. R (Computer program language). Statistics Data processing. BUSINESS & ECONOMICS / Econometrics. bisacsh Confidence interval. Correlation. Expected value. Hypothesis testing. Probability. Regression. Sampling Distributions. Time series. Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 9783110719567 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 English 9783110610765 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 9783110664232 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Economics 2019 9783110606065 ZDB-23-DBV Title is part of eBook package: De Gruyter EBOOK PACKAGE Economics, Law & Social Sciences 2019 ENG 9783110610130 EPUB 9781547401376 print 9781547417469 https://doi.org/10.1515/9781547401352 https://www.degruyter.com/isbn/9781547401352 Cover https://www.degruyter.com/cover/covers/9781547401352.jpg |
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English |
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Akinkunmi, Mustapha Abiodun, Akinkunmi, Mustapha Abiodun, |
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Akinkunmi, Mustapha Abiodun, Akinkunmi, Mustapha Abiodun, Business Statistics with Solutions in R / 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 |
author_facet |
Akinkunmi, Mustapha Abiodun, Akinkunmi, Mustapha Abiodun, |
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m a a ma maa m a a ma maa |
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VerfasserIn VerfasserIn |
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Akinkunmi, Mustapha Abiodun, |
title |
Business Statistics with Solutions in R / |
title_full |
Business Statistics with Solutions in R / Mustapha Abiodun Akinkunmi. |
title_fullStr |
Business Statistics with Solutions in R / Mustapha Abiodun Akinkunmi. |
title_full_unstemmed |
Business Statistics with Solutions in R / Mustapha Abiodun Akinkunmi. |
title_auth |
Business Statistics with Solutions in R / |
title_alt |
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 |
title_new |
Business Statistics with Solutions in R / |
title_sort |
business statistics with solutions in r / |
publisher |
De Gruyter, |
publishDate |
2019 |
physical |
1 online resource (XII, 264 p.) |
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 |
isbn |
9781547401352 9783110719567 9783110610765 9783110664232 9783110606065 9783110610130 9781547401376 9781547417469 |
url |
https://doi.org/10.1515/9781547401352 https://www.degruyter.com/isbn/9781547401352 https://www.degruyter.com/cover/covers/9781547401352.jpg |
illustrated |
Not Illustrated |
doi_str_mv |
10.1515/9781547401352 |
oclc_num |
1129198487 |
work_keys_str_mv |
AT akinkunmimustaphaabiodun businessstatisticswithsolutionsinr |
status_str |
n |
ids_txt_mv |
(DE-B1597)506795 (OCoLC)1129198487 |
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hierarchy_parent_title |
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 Title is part of eBook package: De Gruyter EBOOK PACKAGE Economics 2019 Title is part of eBook package: De Gruyter EBOOK PACKAGE Economics, Law & Social Sciences 2019 ENG |
is_hierarchy_title |
Business Statistics with Solutions in R / |
container_title |
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 |
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1806143970639609856 |
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