Business statistics with solutions in R /:
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston :
De Gruyter,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (xii, 263 pages) : illustrations |
| ISBN: | 1547401354 9781547401352 1547401370 9781547401376 |
Internformat
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| 245 | 1 | 0 | |a Business statistics with solutions in R / |c Mustapha Abiodun Akinkunmi. |
| 264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2019] | |
| 264 | 4 | |c ©2019 | |
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| 500 | |a Includes index. | ||
| 505 | 0 | 0 | |t 1. Introduction to Statistical Analysis -- |t 2. Introduction to R Software -- |t 3. Descriptive Statistics -- |t 4. Basic Probability Concepts -- |t 5. Discrete Probability Distributions -- |t 6. Continuous Probability Distributions -- |t 7. Other Continuous Probability Distributions -- |t 8. Sampling and Sampling Distribution -- |t 9. Confidence Intervals for Single Population Mean and Proportion -- |t 10. Hypothesis Testing for Single Population Mean and Proportion -- |t 11. Regression Analysis and Correlation Analysis -- |t 12. Poisson Distribution -- |t 13. Uniform Distributions -- |t 14. Time Series Analysis. |
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (publisher's Web site, viewed 26. Nov 2019). | |
| 650 | 0 | |a R (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh2002004407 | |
| 650 | 0 | |a Commercial statistics |x Data processing. | |
| 650 | 0 | |a Mathematical statistics |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85082137 | |
| 650 | 0 | |a Statistics |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85127583 | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 6 | |a Statistique mathématique |x Informatique. | |
| 650 | 6 | |a Statistique |x Informatique. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Econometrics. |2 bisacsh | |
| 650 | 7 | |a Commercial statistics |x Data processing |2 fast | |
| 650 | 7 | |a Mathematical statistics |x Data processing |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 7 | |a Statistics |x Data processing |2 fast | |
| 653 | |a Confidence interval. | ||
| 653 | |a Correlation. | ||
| 653 | |a Expected value. | ||
| 653 | |a Hypothesis testing. | ||
| 653 | |a Probability. | ||
| 653 | |a Regression. | ||
| 653 | |a Sampling Distributions. | ||
| 653 | |a Time series. | ||
| 758 | |i has work: |a Business statistics with solutions in R (Text) |1 https://id.oclc.org/worldcat/entity/E39PCH7QKtMxdfXpxjjrDbt4VP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Akinkunmi, Mustapha. |t Business statistics with solutions in R. |d Berlin ; Boston : De Gruyter, [2019] |z 9781547417469 |w (DLC) 2019949179 |w (OCoLC)1129594215 |
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| _version_ | 1816796935915307008 |
| adam_text | |
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| author | Akinkunmi, Mustapha |
| author_GND | http://id.loc.gov/authorities/names/no2018092503 |
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| building | Verbundindex |
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| callnumber-first | Q - Science |
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| callnumber-raw | QA276.45.R3 HF1017 .A35 2019eb |
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| callnumber-sort | QA 3276.45 R3 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBU |
| 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. |
| ctrlnum | (OCoLC)1129198487 |
| dewey-full | 519.50285/5133 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.50285/5133 |
| dewey-search | 519.50285/5133 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBU-on1129198487 |
| illustrated | Illustrated |
| indexdate | 2024-11-26T14:49:35Z |
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| isbn | 1547401354 9781547401352 1547401370 9781547401376 |
| language | English |
| oclc_num | 1129198487 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 263 pages) : illustrations |
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| spelling | Akinkunmi, Mustapha, author. aut http://id.loc.gov/vocabulary/relators/aut http://id.loc.gov/authorities/names/no2018092503 Business statistics with solutions in R / Mustapha Abiodun Akinkunmi. Berlin ; Boston : De Gruyter, [2019] ©2019 1 online resource (xii, 263 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Includes index. 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. 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. Online resource; title from PDF title page (publisher's Web site, viewed 26. Nov 2019). R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Commercial statistics Data processing. Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 Statistics Data processing. http://id.loc.gov/authorities/subjects/sh85127583 R (Langage de programmation) Statistique mathématique Informatique. Statistique Informatique. BUSINESS & ECONOMICS Econometrics. bisacsh Commercial statistics Data processing fast Mathematical statistics Data processing fast R (Computer program language) fast Statistics Data processing fast Confidence interval. Correlation. Expected value. Hypothesis testing. Probability. Regression. Sampling Distributions. Time series. has work: Business statistics with solutions in R (Text) https://id.oclc.org/worldcat/entity/E39PCH7QKtMxdfXpxjjrDbt4VP https://id.oclc.org/worldcat/ontology/hasWork Print version: Akinkunmi, Mustapha. Business statistics with solutions in R. Berlin ; Boston : De Gruyter, [2019] 9781547417469 (DLC) 2019949179 (OCoLC)1129594215 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2292916 Volltext |
| spellingShingle | Akinkunmi, Mustapha Business statistics with solutions in R / 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. R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Commercial statistics Data processing. Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 Statistics Data processing. http://id.loc.gov/authorities/subjects/sh85127583 R (Langage de programmation) Statistique mathématique Informatique. Statistique Informatique. BUSINESS & ECONOMICS Econometrics. bisacsh Commercial statistics Data processing fast Mathematical statistics Data processing fast R (Computer program language) fast Statistics Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2002004407 http://id.loc.gov/authorities/subjects/sh85082137 http://id.loc.gov/authorities/subjects/sh85127583 |
| title | Business statistics with solutions in R / |
| title_alt | 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. |
| title_auth | Business statistics with solutions in R / |
| title_exact_search | 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_short | Business statistics with solutions in R / |
| title_sort | business statistics with solutions in r |
| topic | R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Commercial statistics Data processing. Mathematical statistics Data processing. http://id.loc.gov/authorities/subjects/sh85082137 Statistics Data processing. http://id.loc.gov/authorities/subjects/sh85127583 R (Langage de programmation) Statistique mathématique Informatique. Statistique Informatique. BUSINESS & ECONOMICS Econometrics. bisacsh Commercial statistics Data processing fast Mathematical statistics Data processing fast R (Computer program language) fast Statistics Data processing fast |
| topic_facet | R (Computer program language) Commercial statistics Data processing. Mathematical statistics Data processing. Statistics Data processing. R (Langage de programmation) Statistique mathématique Informatique. Statistique Informatique. BUSINESS & ECONOMICS Econometrics. Commercial statistics Data processing Mathematical statistics Data processing Statistics Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2292916 |
| work_keys_str_mv | AT akinkunmimustapha businessstatisticswithsolutionsinr |