Week Five Lecture
We are near the end of the 10 week research and evaluation journey. We will
close this adventure with a description of one more statistics tool, Linear Regression
and Correlation. We will define then describe these terms and how they are used in
applications.
Let’s first review what we have covered the past nine weeks in research and
evaluation. We initially learned about descriptive statistics where we organized raw data
into frequency distributions, examined several measures of central tendency and
measures of dispersion to describe the major characteristics of the data. We then
turned to inferential statistics in which we inferred something about a population
parameter, such as the population mean based on a sample. We tested (oh how we
tested) for the reasonableness of a population mean, and knew that we could also do
that for the difference between two population means or whether the population means
were equal. When we did these tests (z and t) we involved one variable that was either
interval or ratio. In chisquare, we tested the variable that was nominal.
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 Spring '10
 Regis
 Statistics, Coefficient Of Determination, Correlation, Linear Regression, Regression Analysis, Pearson productmoment correlation coefficient, Jeff Brian Greg, Rich Mike Mark, Brian Greg Susan

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