Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize Microsoft (R) Excel's functions and Analysis ToolPak to answer simple and complex questions about data.
To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots.
Actual data files used in the examples are readily available online at an open-access Student Study Site.
Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools.
Neil J. Salkind received his PhD from the University of Maryland in Human Development, and after teaching for 35 years at the University of Kansas, he remains as a Professor Emeritus in the Department of Psychology and Research in Education, where he continues to collaborate with colleagues and work with students. His early interests were in the area of children's cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina's Bush Center for Child and Family Policy. His work then changed direction and the focus was on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He has delivered more than 150 professional papers and presentations; written more than 100 trade and textbooks; and is the author of Statistics for People Who (Think They) Hate Statistics (Sage), Theories of Human Development (Sage), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the recently published Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years and lives in Lawrence, Kansas, where he likes to letterpress print (see https://sites.google.com/site/bigboypressofks/ for more), read, swim with the Lawrence River City Sharks, bake brownies (see the recipe at http://www.statisticsforpeople.com/The Brown.html), and poke around old Volvos and old houses
PART I: Using Excel Functions 1. Computing Averages The AVERAGE Function The AVERAGE A Function The MEDIAN Function The MODE.SNGL Function The MODE.MULT Function GEOMEAN Function 2. Looking at Variability The STDEV.S Function The STDEV.P Function The VAR.S Function The VAR.P Function 3. Describing Data The FREQUENCY Function The NORM.DIST Function The PERCENTILE.INC Function The PERCENTRANK.INC Function The QUARTILE.INC Function The RANK.AVG Function The STANDARDIZE Function 4. Looking at Relationships The COVARIANCE.S Function The CORREL Function The PEARSON Function The INTERCEPT Function The SLOPE Function The TREND Function The FORECAST Function The RSQ Function 5. Testing Independence The CHISQ.DIST Function The CHISQ.TEST Function 6. Testing Significance The F.DIST Function The CONFIDENCE.NORM Function The F.TEST Function The T.DIST Function The T.TEST Function The Z.TEST Function 7. Looking at Data The SMALL Function The LARGE Function The AVERAGEW IF Function The COUNT Function The COUNTA Function The COUNTBLANK Function The COUNTIF Function PART II: Using the Analysis ToolPak 8. Describing Data Descriptive Statistics Moving Average Random Number Generation Rank and Percentile Sampling 9. Comparing Means z-Test: Two-Sample for Means t-Test: Paired Two-Sample for Means t-Test: Two-Sample Assuming Unequal Variances t-Test: Two-Sample Assuming Equal Variances Anova: Single Factor Anova: Two-Factor With Replication Anova: Two-Factor Without Replication 10. Looking at Relationships The Correlation Tool The Regression Tool 11. Illustrating Data The Histogram Tool