Statistical Analysis with Excel For Dummies (PDF)
(Sprache: Englisch)
You too can understand the statistics of life, even if you'remath-challenged!
What do you need to calculate? Manufacturing output? A curve fortest scores? Sports stats? You and Excel can do it, and thisnon-intimidating guide shows you how. It demystifies...
What do you need to calculate? Manufacturing output? A curve fortest scores? Sports stats? You and Excel can do it, and thisnon-intimidating guide shows you how. It demystifies...
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You too can understand the statistics of life, even if you'remath-challenged!
What do you need to calculate? Manufacturing output? A curve fortest scores? Sports stats? You and Excel can do it, and thisnon-intimidating guide shows you how. It demystifies the differenttypes of statistics, how Excel functions and formulas work, themeaning of means and medians, how to interpret your figures, andmore -- in plain English.
* Getting there -- learn how variables, samples, andprobability are used to get the information you want
* Excel tricks -- find out what's built into the program tohelp you work with Excel formulas
* Playing with worksheets -- get acquainted with the worksheetfunctions for each step
* Graphic displays -- present your data as pie graphs, bargraphs, line graphs, or scatter plots
* What's normal? -- understand normal distribution andprobability
* Hyping hypotheses -- learn to use hypothesis testing withmeans and variables
* When regression is progress -- discover when and how to useregression for forecasting
* What are the odds -- work with probability, randomvariables, and binomial distribution
Open the book and find:
* Ten statistical and graphical tips and traps
* The difference between descriptive and inferentialstatistics
* Why graphs are good
* How to measure variations
* What standard scores are and why they're used
* When to use two-sample hypothesis testing
* How to use correlations
* Different ways of working with probability
What do you need to calculate? Manufacturing output? A curve fortest scores? Sports stats? You and Excel can do it, and thisnon-intimidating guide shows you how. It demystifies the differenttypes of statistics, how Excel functions and formulas work, themeaning of means and medians, how to interpret your figures, andmore -- in plain English.
* Getting there -- learn how variables, samples, andprobability are used to get the information you want
* Excel tricks -- find out what's built into the program tohelp you work with Excel formulas
* Playing with worksheets -- get acquainted with the worksheetfunctions for each step
* Graphic displays -- present your data as pie graphs, bargraphs, line graphs, or scatter plots
* What's normal? -- understand normal distribution andprobability
* Hyping hypotheses -- learn to use hypothesis testing withmeans and variables
* When regression is progress -- discover when and how to useregression for forecasting
* What are the odds -- work with probability, randomvariables, and binomial distribution
Open the book and find:
* Ten statistical and graphical tips and traps
* The difference between descriptive and inferentialstatistics
* Why graphs are good
* How to measure variations
* What standard scores are and why they're used
* When to use two-sample hypothesis testing
* How to use correlations
* Different ways of working with probability
Autoren-Porträt von Joseph Schmuller
Joseph Schmuller, PhD, is a technical architect at Blue Cross-Blue Shield of Florida. A former member of the American Statistical Association, he has taught statistics at the undergraduate, honors undergraduate, and graduate levels, and has been honored with an award for excellence in teaching.
Bibliographische Angaben
- Autor: Joseph Schmuller
- 2009, 2. Auflage, 504 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470535415
- ISBN-13: 9780470535417
- Erscheinungsdatum: 14.05.2009
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 17 MB
- Mit Kopierschutz
Sprache:
Englisch
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