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Statistical Analysis: Microsoft Excel - Paperback, by Carlberg Conrad - Good
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Nr przedmiotu eBay: 125960492016
Ostatnia aktualizacja: 06-09-2024 01:13:41 CEST Wyświetl wszystkie poprawkiWyświetl wszystkie poprawki
Parametry przedmiotu
- Stan
- Book Title
- Statistical Analysis: Microsoft Excel 2016
- ISBN
- 9780789759054
- Subject Area
- Mathematics, Computers, Business & Economics
- Publication Name
- Statistical Analysis
- Publisher
- Pearson Education
- Item Length
- 9.1 in
- Subject
- Probability & Statistics / General, Desktop Applications / Spreadsheets, Statistics
- Publication Year
- 2017
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1.4 in
- Item Weight
- 32 Oz
- Item Width
- 6.8 in
- Number of Pages
- 576 Pages
O tym produkcie
Product Identifiers
Publisher
Pearson Education
ISBN-10
0789759055
ISBN-13
9780789759054
eBay Product ID (ePID)
239522352
Product Key Features
Number of Pages
576 Pages
Language
English
Publication Name
Statistical Analysis
Subject
Probability & Statistics / General, Desktop Applications / Spreadsheets, Statistics
Publication Year
2017
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
1.4 in
Item Weight
32 Oz
Item Length
9.1 in
Item Width
6.8 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2017-955944
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
001.422/0285
Synopsis
USE EXCEL'S STATISTICAL TOOLS TO TRANSFORM YOUR DATA INTO KNOWLEDGE Nationally recognized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features. 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, Carlberg offers insightful coverage of crucial topics ranging from experimental design to the statistical power of F tests. Updated for Excel 2016, this guide covers both modern consistency functions and legacy compatibility functions. Becoming an expert with Excel statistics has never been easier! In this book, you'll find crystal-clear instructions, insider insights, and complete step-by-step guidance. Master Excel's most useful descriptive and inferential statistical tools Understand how values cluster together or disperse, and how variables move or classify jointly Tell the truth with statistics--and recognize when others don't 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 Identify skewed distributions using Excel's new built-in box-and-whisker plots and histograms Evaluate statistical power and control risk Explore how randomized block and split plot designs alter the derivation of F-ratios Use coded multiple regression analysis to perform ANOVA with unbalanced factorial designs Analyze covariance with ANCOVA, and properly use multiple covariance Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2016 shortcuts, Use Excel 2016's statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2016 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., USE EXCEL'S STATISTICAL TOOLS TO TRANSFORM YOUR DATA INTO KNOWLEDGE Nationally recognized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features. 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, Carlberg offers insightful coverage of crucial topics ranging from experimental design to the statistical power of F tests. Updated for Excel 2016, this guide covers both modern consistency functions and legacy compatibility functions. Becoming an expert with Excel statistics has never been easier In this book, you'll find crystal-clear instructions, insider insights, and complete step-by-step guidance. Master Excel's most useful descriptive and inferential statistical tools Understand how values cluster together or disperse, and how variables move or classify jointly Tell the truth with statistics--and recognize when others don't 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 Identify skewed distributions using Excel's new built-in box-and-whisker plots and histograms Evaluate statistical power and control risk Explore how randomized block and split plot designs alter the derivation of F-ratios Use coded multiple regression analysis to perform ANOVA with unbalanced factorial designs Analyze covariance with ANCOVA, and properly use multiple covariance Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2016 shortcuts, Use Excel 2016's statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2016 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. Conrad Carlberg shows how to use Excel 2016 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.
LC Classification Number
QA276.45.M53
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