Statistical Analysis with Excel For Dummies

by Schmuller, Joseph

• ISBN13: 9780470454060
• ISBN10: 0470454067
• Edition: 2nd
• Format: Paperback
• Copyright: 2009-06-02
• Publisher: For Dummies

Summary

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 wantExcel tricks - find out what's built into the program to help you work with Excel formulasPlaying with worksheets - get acquainted with the worksheet functions for each stepGraphic displays - present your data as pie graphs, bar graphs, line graphs, or scatter plotsWhat's normal? - understand normal distribution and probabilityHyping hypotheses - learn to use hypothesis testing with means and variablesWhen regression is progress - discover when and how to use regression for forecastingWhat are the odds - work with probability, random variables, and binomial distributionOpen the book and find:Ten statistical and graphical tips and trapsThe difference between descriptive and inferential statisticsWhy graphs are goodHow to measure variationsWhat standard scores are and why they're usedWhen to use two-sample hypothesis testingHow to use correlationsDifferent ways of working with probability

Author Biography

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.

Table of Contents

Introduction

Statistics and Excel: A Marriage Made in Heaven

Evaluating Data in the Real World

Understanding Excel's Statistical Capabilities

Describing Data

Show and Tell: Graphing Data

Finding Your Center

Deviating from the Average

Meeting Standards and Standings

Summarizing It All

What's Normal?

Drawing Conclusions from Data

The Confi dence Game: Estimation

One-Sample Hypothesis Testing

Two-Sample Hypothesis Testing

Testing More Than Two Samples

Slightly More Complicated Testing

Regression: Linear and Multiple

Correlation: The Rise and Fall of Relationships

Working with Probability

Introducing Probability

More on Probability

A Career in Modeling

The Part of Tens

Ten Statistical and Graphical Tips and Traps

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

When Your Worksheet Is a Database

The Analysis of Covariance

Of Stems, Leaves, Boxes, Whiskers, and Smoothies

Index

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