Statistical Analysis With Excel For Dummies, Second Edition 9780470454060 下载 网盘 kindle mobi 115盘 pdf pdb rtf

　　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 functions 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 functions 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 -- discover when 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

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

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 Conclusions 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 Relationships

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 functions 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 functions 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 -- discover when 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 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