Summary
Contents
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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.
Comparing Means: Significance Testing, Effect Size, and Confidence Intervals
A common way in which scientists test their hypotheses is to make comparisons between their observations and expected outcomes. At a most basic level, we can consider situations in which one group is compared to a criterion or standard. For example, we may want to compare student scores on a standardized assessment to the known national average score. For two groups, we may want to test whether students in an advanced class outperformed students in a basic class on a given assessment.
However, we would not be able to capture the full scope of a given behavior if our observations were limited to just one or two groups. ...
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