
Psyc 210 E3 Review
Authored by Makenzie Jacobson
Mathematics
University
CCSS covered
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51 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When the independent variable has more than two levels, why can't a researcher just run multiple t tests?
the probability of making a Type I error in one of the tests increases
the probability of making a Type II error in one of the tests increases
degrees of freedom are lost
this statement is wrong, we can run multiple t tests
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the p level is 0.10 and the null hypothesis is true, what is the probability of NOT making a Type I error?
0.10
.90
.95
0.00
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the F ratio calculated?
dividing a measure of between-groups variability by a measure of within-groups variability
dividing a measure of within-groups variability by a measure of between-groups variability
averaging the results from the t test for all possible two-group comparisons
squaring all the scores
Tags
CCSS.HSS.ID.A.4
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If between-groups variance is larger than within-groups variance, we can infer the sample means are ________ one another, and we ________ the null hypothesis
similar to; reject
similar to; fail to reject
different from; fail to reject
different from; reject
Tags
CCSS.HSS.ID.B.6B
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When do we use an ANOVA?
the population mean and the standard deviation are known
given a scale dependent variable and a nominal independent variable with three or more levels
given just the population mean
given one or two nominal variables
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do we calculate between-groups df?
subtracting 1 from the total number of subjects in the study
subtracting 1 from the total number of groups in the study
subtracting 1 from the number of subjects within each group then adding those numbers together
multiplying the number of subjects by the number of conditions in the study then subtracting 1
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a significant F statistic tell us?
we fail to reject the null hypothesis
the values of the means that are furthest apart are the only ones that are significant
we do not know which specific means differ significantly
the values of the means that are closest apart are the only ones that are significant
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