Business statistics:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Harlow, England
Pearson
[2021]
|
| Ausgabe: | 4th edition, global edition |
| Schlagworte: | |
| Online-Zugang: | FHD01 TUBA1 UPA01 |
| Beschreibung: | 1 Online-Ressource (901 Seiten) |
| ISBN: | 9781292269375 |
Internformat
MARC
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| 100 | 1 | |a Sharpe, Norean R. |e Verfasser |0 (DE-588)138105413 |4 aut | |
| 245 | 1 | 0 | |a Business statistics |c Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman |
| 250 | |a 4th edition, global edition | ||
| 264 | 1 | |a Harlow, England |b Pearson |c [2021] | |
| 300 | |a 1 Online-Ressource (901 Seiten) | ||
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| 505 | 8 | |a Cover -- Title Page -- Copyright -- Dedication -- Meet the Authors -- Contents -- Preface -- Index of Applications -- Part I: Exploring and Collecting Data -- Chapter 1: Data and Decisions (H&M) -- 1.1 Data -- 1.2 The Role of Data in Decision Making -- 1.3 Variable Types -- 1.4 Data Sources: Where, How, and When -- Ethics in Action -- Chapter 1: From Learning to Earning -- Tech Support: Entering Data -- Brief Case: Credit Card Bank -- Chapter 2: Visualizing and Describing Categorical Data (Dalia Research) -- 2.1 Summarizing a Categorical Variable -- 2.2 Displaying a Categorical Variable | |
| 505 | 8 | |a 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables -- 2.4 Segmented Bar Charts and Mosaic Plots -- 2.5 Three Categorical Variables -- 2.6 Simpson's Paradox -- Ethics in Action -- Chapter 2: From Learning to Earning -- Tech Support: Displaying Categorical Data -- Brief Case: Credit Card Bank -- Chapter 3: Describing, Displaying, and Visualizing Quantitative Data (AIG) -- 3.1 Visualizing Quantitative Variables -- 3.2 Shape -- 3.3 Center -- 3.4 Spread of the Distribution -- 3.5 Shape, Center, and Spread-A Summary -- 3.6 Standardizing Variables | |
| 505 | 8 | |a 3.7 Five-Number Summary and Boxplots -- 3.8 Comparing Groups -- 3.9 Identifying Outliers -- 3.10 Time Series Plots -- *3.11 Transforming Skewed Data -- Ethics in Action -- Chapter 3: From Learning to Earning -- Tech Support: Displaying and Summarizing Quantitative Variables -- Brief Case: Detecting the Housing Bubble -- Chapter 4: Correlation and Linear Regression (Zillow.com) -- 4.1 Looking at Scatterplots -- 4.2 Assigning Roles to Variables in Scatterplots -- 4.3 Understanding Correlation -- 4.4 Lurking Variables and Causation -- 4.5 The Linear Model -- 4.6 Correlation and the Line | |
| 505 | 8 | |a 4.7 Regression to the Mean -- 4.8 Checking the Model -- 4.9 Variation in the Model and R2 -- 4.10 Reality Check: Is the Regression Reasonable? -- 4.11 Nonlinear Relationships -- *4.12 Multiple Regression-A Glimpse Ahead -- Ethics in Action -- Chapter 4: From Learning to Earning -- Tech Support: Correlation and Regression -- Brief Case: Fuel Efficiency, Cost of Living, and Mutual Funds -- Case Study: Paralyzed Veterans of America -- Part II: Modeling with Probability -- Chapter 5: Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax) | |
| 505 | 8 | |a 5.1 Random Phenomena and Probability -- 5.2 The Nonexistent Law of Averages -- 5.3 Different Types of Probability -- 5.4 Probability Rules -- 5.5 Joint Probability and Contingency Tables -- 5.6 Conditional Probability and the General Multiplication Rule -- 5.7 Constructing Contingency Tables -- 5.8 Probability Trees -- *5.9 Reversing the Conditioning: Bayes' Rule -- Ethics in Action -- Chapter 5: From Learning to Earning -- Tech Support: Generating Random Numbers -- Brief Case: Global Markets -- Chapter 6: Random Variables and Probability Models (Metropolitan Life Insurance Company) | |
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Datensatz im Suchindex
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| author | Sharpe, Norean R. De Veaux, Richard D. Velleman, Paul F. 1949- |
| author_GND | (DE-588)138105413 (DE-588)138105170 (DE-588)141050713 |
| author_facet | Sharpe, Norean R. De Veaux, Richard D. Velleman, Paul F. 1949- |
| author_role | aut aut aut |
| author_sort | Sharpe, Norean R. |
| author_variant | n r s nr nrs v r d d vrd vrdd p f v pf pfv |
| building | Verbundindex |
| bvnumber | BV047231278 |
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| contents | Cover -- Title Page -- Copyright -- Dedication -- Meet the Authors -- Contents -- Preface -- Index of Applications -- Part I: Exploring and Collecting Data -- Chapter 1: Data and Decisions (H&M) -- 1.1 Data -- 1.2 The Role of Data in Decision Making -- 1.3 Variable Types -- 1.4 Data Sources: Where, How, and When -- Ethics in Action -- Chapter 1: From Learning to Earning -- Tech Support: Entering Data -- Brief Case: Credit Card Bank -- Chapter 2: Visualizing and Describing Categorical Data (Dalia Research) -- 2.1 Summarizing a Categorical Variable -- 2.2 Displaying a Categorical Variable 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables -- 2.4 Segmented Bar Charts and Mosaic Plots -- 2.5 Three Categorical Variables -- 2.6 Simpson's Paradox -- Ethics in Action -- Chapter 2: From Learning to Earning -- Tech Support: Displaying Categorical Data -- Brief Case: Credit Card Bank -- Chapter 3: Describing, Displaying, and Visualizing Quantitative Data (AIG) -- 3.1 Visualizing Quantitative Variables -- 3.2 Shape -- 3.3 Center -- 3.4 Spread of the Distribution -- 3.5 Shape, Center, and Spread-A Summary -- 3.6 Standardizing Variables 3.7 Five-Number Summary and Boxplots -- 3.8 Comparing Groups -- 3.9 Identifying Outliers -- 3.10 Time Series Plots -- *3.11 Transforming Skewed Data -- Ethics in Action -- Chapter 3: From Learning to Earning -- Tech Support: Displaying and Summarizing Quantitative Variables -- Brief Case: Detecting the Housing Bubble -- Chapter 4: Correlation and Linear Regression (Zillow.com) -- 4.1 Looking at Scatterplots -- 4.2 Assigning Roles to Variables in Scatterplots -- 4.3 Understanding Correlation -- 4.4 Lurking Variables and Causation -- 4.5 The Linear Model -- 4.6 Correlation and the Line 4.7 Regression to the Mean -- 4.8 Checking the Model -- 4.9 Variation in the Model and R2 -- 4.10 Reality Check: Is the Regression Reasonable? -- 4.11 Nonlinear Relationships -- *4.12 Multiple Regression-A Glimpse Ahead -- Ethics in Action -- Chapter 4: From Learning to Earning -- Tech Support: Correlation and Regression -- Brief Case: Fuel Efficiency, Cost of Living, and Mutual Funds -- Case Study: Paralyzed Veterans of America -- Part II: Modeling with Probability -- Chapter 5: Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax) 5.1 Random Phenomena and Probability -- 5.2 The Nonexistent Law of Averages -- 5.3 Different Types of Probability -- 5.4 Probability Rules -- 5.5 Joint Probability and Contingency Tables -- 5.6 Conditional Probability and the General Multiplication Rule -- 5.7 Constructing Contingency Tables -- 5.8 Probability Trees -- *5.9 Reversing the Conditioning: Bayes' Rule -- Ethics in Action -- Chapter 5: From Learning to Earning -- Tech Support: Generating Random Numbers -- Brief Case: Global Markets -- Chapter 6: Random Variables and Probability Models (Metropolitan Life Insurance Company) |
| ctrlnum | (OCoLC)1249659913 (DE-599)BVBBV047231278 |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 4th edition, global edition |
| format | Electronic eBook |
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| id | DE-604.BV047231278 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:00:47Z |
| indexdate | 2024-07-10T09:06:21Z |
| institution | BVB |
| isbn | 9781292269375 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032635740 |
| oclc_num | 1249659913 |
| open_access_boolean | |
| owner | DE-1050 DE-739 DE-83 |
| owner_facet | DE-1050 DE-739 DE-83 |
| physical | 1 Online-Ressource (901 Seiten) |
| psigel | ZDB-30-PQE ZDB-150-PEB ZDB-30-PQE FHD01_PQE_Kauf ZDB-150-PEB TUB_EBS_Pearson ZDB-150-PEB UPA_Einzelkauf_Pearson |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Pearson |
| record_format | marc |
| spelling | Sharpe, Norean R. Verfasser (DE-588)138105413 aut Business statistics Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman 4th edition, global edition Harlow, England Pearson [2021] 1 Online-Ressource (901 Seiten) txt rdacontent c rdamedia cr rdacarrier Cover -- Title Page -- Copyright -- Dedication -- Meet the Authors -- Contents -- Preface -- Index of Applications -- Part I: Exploring and Collecting Data -- Chapter 1: Data and Decisions (H&M) -- 1.1 Data -- 1.2 The Role of Data in Decision Making -- 1.3 Variable Types -- 1.4 Data Sources: Where, How, and When -- Ethics in Action -- Chapter 1: From Learning to Earning -- Tech Support: Entering Data -- Brief Case: Credit Card Bank -- Chapter 2: Visualizing and Describing Categorical Data (Dalia Research) -- 2.1 Summarizing a Categorical Variable -- 2.2 Displaying a Categorical Variable 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables -- 2.4 Segmented Bar Charts and Mosaic Plots -- 2.5 Three Categorical Variables -- 2.6 Simpson's Paradox -- Ethics in Action -- Chapter 2: From Learning to Earning -- Tech Support: Displaying Categorical Data -- Brief Case: Credit Card Bank -- Chapter 3: Describing, Displaying, and Visualizing Quantitative Data (AIG) -- 3.1 Visualizing Quantitative Variables -- 3.2 Shape -- 3.3 Center -- 3.4 Spread of the Distribution -- 3.5 Shape, Center, and Spread-A Summary -- 3.6 Standardizing Variables 3.7 Five-Number Summary and Boxplots -- 3.8 Comparing Groups -- 3.9 Identifying Outliers -- 3.10 Time Series Plots -- *3.11 Transforming Skewed Data -- Ethics in Action -- Chapter 3: From Learning to Earning -- Tech Support: Displaying and Summarizing Quantitative Variables -- Brief Case: Detecting the Housing Bubble -- Chapter 4: Correlation and Linear Regression (Zillow.com) -- 4.1 Looking at Scatterplots -- 4.2 Assigning Roles to Variables in Scatterplots -- 4.3 Understanding Correlation -- 4.4 Lurking Variables and Causation -- 4.5 The Linear Model -- 4.6 Correlation and the Line 4.7 Regression to the Mean -- 4.8 Checking the Model -- 4.9 Variation in the Model and R2 -- 4.10 Reality Check: Is the Regression Reasonable? -- 4.11 Nonlinear Relationships -- *4.12 Multiple Regression-A Glimpse Ahead -- Ethics in Action -- Chapter 4: From Learning to Earning -- Tech Support: Correlation and Regression -- Brief Case: Fuel Efficiency, Cost of Living, and Mutual Funds -- Case Study: Paralyzed Veterans of America -- Part II: Modeling with Probability -- Chapter 5: Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax) 5.1 Random Phenomena and Probability -- 5.2 The Nonexistent Law of Averages -- 5.3 Different Types of Probability -- 5.4 Probability Rules -- 5.5 Joint Probability and Contingency Tables -- 5.6 Conditional Probability and the General Multiplication Rule -- 5.7 Constructing Contingency Tables -- 5.8 Probability Trees -- *5.9 Reversing the Conditioning: Bayes' Rule -- Ethics in Action -- Chapter 5: From Learning to Earning -- Tech Support: Generating Random Numbers -- Brief Case: Global Markets -- Chapter 6: Random Variables and Probability Models (Metropolitan Life Insurance Company) Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd rswk-swf Betriebswirtschaftliche Statistik (DE-588)4006243-0 s DE-604 De Veaux, Richard D. Verfasser (DE-588)138105170 aut Velleman, Paul F. 1949- Verfasser (DE-588)141050713 aut Erscheint auch als Druck-Ausgabe 978-1-292-26931-3 |
| spellingShingle | Sharpe, Norean R. De Veaux, Richard D. Velleman, Paul F. 1949- Business statistics Cover -- Title Page -- Copyright -- Dedication -- Meet the Authors -- Contents -- Preface -- Index of Applications -- Part I: Exploring and Collecting Data -- Chapter 1: Data and Decisions (H&M) -- 1.1 Data -- 1.2 The Role of Data in Decision Making -- 1.3 Variable Types -- 1.4 Data Sources: Where, How, and When -- Ethics in Action -- Chapter 1: From Learning to Earning -- Tech Support: Entering Data -- Brief Case: Credit Card Bank -- Chapter 2: Visualizing and Describing Categorical Data (Dalia Research) -- 2.1 Summarizing a Categorical Variable -- 2.2 Displaying a Categorical Variable 2.3 Exploring Relationships Between Two Categorical Variables: Contingency Tables -- 2.4 Segmented Bar Charts and Mosaic Plots -- 2.5 Three Categorical Variables -- 2.6 Simpson's Paradox -- Ethics in Action -- Chapter 2: From Learning to Earning -- Tech Support: Displaying Categorical Data -- Brief Case: Credit Card Bank -- Chapter 3: Describing, Displaying, and Visualizing Quantitative Data (AIG) -- 3.1 Visualizing Quantitative Variables -- 3.2 Shape -- 3.3 Center -- 3.4 Spread of the Distribution -- 3.5 Shape, Center, and Spread-A Summary -- 3.6 Standardizing Variables 3.7 Five-Number Summary and Boxplots -- 3.8 Comparing Groups -- 3.9 Identifying Outliers -- 3.10 Time Series Plots -- *3.11 Transforming Skewed Data -- Ethics in Action -- Chapter 3: From Learning to Earning -- Tech Support: Displaying and Summarizing Quantitative Variables -- Brief Case: Detecting the Housing Bubble -- Chapter 4: Correlation and Linear Regression (Zillow.com) -- 4.1 Looking at Scatterplots -- 4.2 Assigning Roles to Variables in Scatterplots -- 4.3 Understanding Correlation -- 4.4 Lurking Variables and Causation -- 4.5 The Linear Model -- 4.6 Correlation and the Line 4.7 Regression to the Mean -- 4.8 Checking the Model -- 4.9 Variation in the Model and R2 -- 4.10 Reality Check: Is the Regression Reasonable? -- 4.11 Nonlinear Relationships -- *4.12 Multiple Regression-A Glimpse Ahead -- Ethics in Action -- Chapter 4: From Learning to Earning -- Tech Support: Correlation and Regression -- Brief Case: Fuel Efficiency, Cost of Living, and Mutual Funds -- Case Study: Paralyzed Veterans of America -- Part II: Modeling with Probability -- Chapter 5: Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax) 5.1 Random Phenomena and Probability -- 5.2 The Nonexistent Law of Averages -- 5.3 Different Types of Probability -- 5.4 Probability Rules -- 5.5 Joint Probability and Contingency Tables -- 5.6 Conditional Probability and the General Multiplication Rule -- 5.7 Constructing Contingency Tables -- 5.8 Probability Trees -- *5.9 Reversing the Conditioning: Bayes' Rule -- Ethics in Action -- Chapter 5: From Learning to Earning -- Tech Support: Generating Random Numbers -- Brief Case: Global Markets -- Chapter 6: Random Variables and Probability Models (Metropolitan Life Insurance Company) Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd |
| subject_GND | (DE-588)4006243-0 |
| title | Business statistics |
| title_auth | Business statistics |
| title_exact_search | Business statistics |
| title_exact_search_txtP | Business statistics |
| title_full | Business statistics Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman |
| title_fullStr | Business statistics Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman |
| title_full_unstemmed | Business statistics Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman |
| title_short | Business statistics |
| title_sort | business statistics |
| topic | Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd |
| topic_facet | Betriebswirtschaftliche Statistik |
| work_keys_str_mv | AT sharpenoreanr businessstatistics AT deveauxrichardd businessstatistics AT vellemanpaulf businessstatistics |