
t-test (independent sample)
Authored by Grace T'ng
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University
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10 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The comparison distribution for a test of independent sample indicates _____________.
distribution of proportional variance scores
Z distribution (that is, a normal curve)
distribution of differences between means
distribution of differences between variances
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
When conducting a t test for independent means, a typical research hypothesis might be _________.
the mean of Sample 1 is the same as the mean of Sample 2
the mean of Population 1 is the same as the mean of Population 2
the mean of Sample 1 is greater than the mean of Sample 2
the mean of population 1 is greater than the mean of population 2
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The degrees of freedom used for a t-test of independent means is ___________.
the degrees of freedom for sample 1, divided by the sum of the degrees of freedom for both samples
the average of the degrees of freedom for the two samples
the sum of the two sample sizes, minus one
the sum of the degrees of freedom of the two independent samples
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
One of the assumptions for the t-test of independent means is that ___________.
sample means are not significantly different
the mean of the distribution of differences between means is 1
the variance of each of the population is the same
the mean of each of the population vary by not more than 1 standard deviation
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which of the following assumptions does not apply to the t-test of independent means?
normality
homogeneity of variance
independence of scores
unweighted averages
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A t-test for independent means is reported as "t (28) = 4.21, p < .01." This means _________.
the result is not statistically significant
there were 28 participants in the study
the t-score was significant
the effect size is strong
7.
FILL IN THE BLANKS QUESTION
1 min • 1 pt
When conducting a t test for independent means, a typical null hypothesis is that the mean of Population 1 equals the mean of (a) .
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