Statistical Analysis With Excel For Dummies, Second Edition 9780470454060 pdf kindle caj 下载 azw3 umd 电子版 夸克云

　　You too can understand the statistics of life, even if you're

math-challenged What do you need to calculate? Manufacturing

output? A curve for test scores? Sports stats? You and Excel can do

it, and this non-intimidating guide shows you how. It demystifies

the different types of statistics, how Excel functi*** and formulas

work, the meaning of means and medians, how to interpret your

figures, and more -- in plain English. Getting there -- learn how

variables, samples, and probability are used to get the information

you want Excel tricks -- find out what's built into the program to

help you work with Excel formulas Playing with worksheets -- get

acquainted with the worksheet functi*** for each step Graphic

displays -- present your data as pie graphs, bar graphs, line

graphs, or scatter plots What's normal? -- understand normal

distribution and probability Hyping hypotheses -- learn to use

hypothesis testing with means and variables When regression is

progress -- discove***hen and how to use regression for forecasting

What are the odds -- work with probability, random variables, and

binomial distribution Open the book and find: Ten statistical and

graphical tips and traps The difference between de*ive and

inferential statistics Why graphs are good How to measure

variati*** What standard scores are and why they're used When to

use two-sample hypothesis testing How to use correlati*** Different

ways of working with probability

Introduction

Part I: Statistics and Excel: A Marriage Made in Heaven

Chapter 1: Evaluating Data in the Real World

Chapter 2: Understanding Excel's Statistical Capabilities

Part II: Describing Data

Chapter 3: Show and Tell: Graphing Data

Chapter 4: Finding Your Center

Chapter 5: Deviating from the Average

Chapter 6: Meeting Standards and Standings

Chapter 7: Summarizing It All

Chapter 8: What's Normal? Part III: Drawing Conclusi*** from

Data

Chapter 9: The Confi dence Game: Estimation

Chapter 10: One-Sample Hypothesis Testing

Chapter 11: Two-Sample Hypothesis Testing

Chapter 12: Testing More Than Two Samples

Chapter 13: Slightly More Complicated Testing

Chapter 14: Regression: Linear and Multiple

Chapter 15: Correlation: The Rise and Fall of Relati***hips

Part IV: Working with Probability

Chapter 16: Introducing Probability

Chapter 17: More on Probability

Chapter 18: A Career in Modeling

Part V: The Part of Tens

Chapter 19: Ten Statistical and Graphical Tips and Traps

Chapter 20: Ten Things (Twelve, Actually) That Didn't Fit in Any

Other Chapter

Appendix A: When Your Worksheet Is a Database

Appendix B: The Analysis of Covariance

Appendix C: Of Stems, Leaves, Boxes, Whiskers, and Smoothies

Index.

　　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.

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书籍介绍

You too can understand the statistics of life, even if you're math-challenged What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functi*** and formulas work, the meaning of means and medians, how to interpret your figures, and more -- in plain English. Getting there -- learn how variables, samples, and probability are used to get the information you want Excel tricks -- find out what's built into the program to help you work with Excel formulas Playing with worksheets -- get acquainted with the worksheet functi*** for each step Graphic displays -- present your data as pie graphs, bar graphs, line graphs, or scatter plots What's normal? -- understand normal distribution and probability Hyping hypotheses -- learn to use hypothesis testing with means and variables When regression is progress -- discove***hen and how to use regression for forecasting What are the odds -- work with probability, random variables, and binomial distribution Open the book and find: Ten statistical and graphical tips and traps The difference between descriptive and inferential statistics Why graphs are good How to measure variati*** What standard scores are and why they're used When to use two-sample hypothesis testing How to use correlati*** Different ways of working with probability