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Chapter 14
Additional Practice Test
Additional Practice Test
An additional test to help you further practice your mastery of the material from chapter 14
This activity contains 20 questions.
The t-test is appropriate for comparisons of
Any Number of samples
One sample
Two Samples
More than two samples
An acronym used for the analysis of variance is
ANOVA
AV
There is no widely accepted acronym
AOV
An acronym of analysis of covariance is
ANOVA
AOV
There is no widely accepted acronym
ANCOVA
KR 20 is named after
Kline and Richmond
None of the above
Koch and Riley
Kuder and Richtman
An example of a curvilinear relationship is
Eating and energy
Eating and sleeping
Energy and oil
Punching and kicking
KR 20 is a complication of coefficient alpha
True
False
The simplest extension of the t-test is the comparison of three groups
True
False
The analysis of covariance increases the sensitivity of analysis
True
False
If all you know is that the groups you are studying are statistically different, then you can figure out everything else that you will need to know
True
False
in curvilinear relationships x and y share associated values
True
False
Define effect size.
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Define interaction
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Define main effect
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Define one-way analysis of variation.
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Define parallel forms reliability.
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Imagine you have research groups that are very different on pre tests. Explain how you could make them statistically equivalent. Be specific.
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Design a chart relating the fact that a child whose mother attended college scored higher on the SAT than a child whose mother did not attend college. What type of correlation will you find? Why?
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Explain the difference between liner and nonlinear relation. Give two examples of each, with data that supports your example.
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You are a tenth grade teacher and I am a new student to your class. Explain the concept of a chi square to me. Remember this is the first I have heard of this term so be very detailed.
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Explain ES = Me-Mc. What does each letter represent? Sc
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