Excel Statistics
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Beschreibung:
Ideal for those already familiar with basic Excel features, this updated Third Edition shows readers how to utilize Microsoft® Excel′s functions and Analysis ToolPak to answer simple and complex questions about data.
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® Excel’s functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. 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. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site.
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