Summary
Contents
Subject index
Core Statistical Concepts with Excel® connects statistical concepts to applications with Excel® using practical research examples. The text jointly promotes an understanding of Excel® and a deeper knowledge of core concepts through practice. Authors Gregory J. Privitera and Darryl Mayeaux provide students step-by-step instruction for using Excel® software as a useful tool not only to manage but also analyze data–all through the use of key themes, features, and pedagogy: an emphasis on student learning, a focus on current research, and integration of Excel® to introduce statistical concepts.
Sampling Distributions
Sampling Distributions
Excel Toolbox
Mathematical operators
- +
- -
- *
Functions
- AVERAGE
- STDEV.P
- VAR.S
- SKEW
- KURT
- MIN
- MAX
- OFFSET
- ROW
Other tools
- freeze panes
- format cells
- fill down or paste
- anchor cell reference
- summarize with PivotTable
- create chart
- format chart
In a broader context, it is important to be critical about the informativeness of samples for drawing conclusions about populations. How well do observations with samples truly generalize or inform us about a population? Can we trust the findings reported when samples of data are used? The most commonly reported and highly utilized statistic to describe behavior is the sample mean. At a fundamental level, it is practical to ask, “Is the sample mean unbiased?” In other words, on average, does it correctly estimate a population mean; and if it does not correctly estimate the population mean, then how far “off” is it, or how much ...
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