Statistical analysis Microsoft Excel 2013
Use Excel 2013's statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for...
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| Format: | Elektronisch E-Book |
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| 520 | |a Use Excel 2013's statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You'll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You'll find crystal-clear instructions, insider insights, and complete step-by-step projects--all complemented by extensive web-based resources. Master Excel's most useful descriptive and inferential statistical tools Tell the truth with statistics--and recognize when others don't Accurately summarize sets of values Infer a population's characteristics from a sample's frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV. S() and STDEV. P() Test differences between two means using z tests, t tests, and Excel's Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts. | ||
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| spelling | Carlberg, Conrad George VerfasserIn aut Statistical analysis Microsoft Excel 2013 Conrad Carlberg [Place of publication not identified] Que 2014 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from title page (Safari, viewed Apr 18, 2014) Use Excel 2013's statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You'll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You'll find crystal-clear instructions, insider insights, and complete step-by-step projects--all complemented by extensive web-based resources. Master Excel's most useful descriptive and inferential statistical tools Tell the truth with statistics--and recognize when others don't Accurately summarize sets of values Infer a population's characteristics from a sample's frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV. S() and STDEV. P() Test differences between two means using z tests, t tests, and Excel's Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts. Statistics Statistique statistics 9780789753113 Erscheint auch als Druck-Ausgabe 9780789753113 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9780133824001/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Carlberg, Conrad George Statistical analysis Microsoft Excel 2013 Statistics Statistique statistics |
| title | Statistical analysis Microsoft Excel 2013 |
| title_auth | Statistical analysis Microsoft Excel 2013 |
| title_exact_search | Statistical analysis Microsoft Excel 2013 |
| title_full | Statistical analysis Microsoft Excel 2013 Conrad Carlberg |
| title_fullStr | Statistical analysis Microsoft Excel 2013 Conrad Carlberg |
| title_full_unstemmed | Statistical analysis Microsoft Excel 2013 Conrad Carlberg |
| title_short | Statistical analysis |
| title_sort | statistical analysis microsoft excel 2013 |
| title_sub | Microsoft Excel 2013 |
| topic | Statistics Statistique statistics |
| topic_facet | Statistics Statistique statistics |
| url | https://learning.oreilly.com/library/view/-/9780133824001/?ar |
| work_keys_str_mv | AT carlbergconradgeorge statisticalanalysismicrosoftexcel2013 |