Statistics
Lecture 9
Quiz 2 will cover mostly correlation and regressiononly definitional for hypothesis
testing…what is null hypothesis.
How do you know if you have practical vs. statistical
significance.
What is type I and type II errors.
Look online there are all the definitions.
1.
type I is statistical significance but beta (type II) is practical significance?? Why?
Look this up
2.
minimum effect of interestthe distance between the mean of the null hypothesis
and the hypothesized mean of your research hypothesis. How different you want
those groups to be.
a.
As this value gets smaller, the two distributions will merge together
b.
MEIsmallest effect size that you deem important
i.
Correlation is an effect size! Measures directionality and
magnitude.
...magnitude is an effect size.
c.
This is before we have collected datait is how we set up the experiment.
In order to say this relationship will be practically significant it must be
this value
d.
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 Spring '08
 Dicorcia
 Statistics, Correlation, Null hypothesis, Statistical hypothesis testing, Statistical significance, Type I and type II errors, Statistical power

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