Table for #40 & 41. Independent Samples Test t-test for Equality of Means t df S
ID: 3390463 • Letter: T
Question
Table for #40 & 41.
Independent Samples Test
t-test for Equality of Means
t
df
Sig. (2-tailed)
number correct
Equal variances assumed
10.991
38
.000
Equal variances not assumed
10.991
30.727
.000
From the table below, did the independent variable have an effect?
a.Yes, there is a statistically significant effect.
b.Yes, but the effect was not statistically significant.
c.Not enough information.
d.No, it is not statistically insignificant.
What was the dependent variable in the table below?
a.Variances
b.Number correct
c.Equal assumptions
d.Not given in table
Which of the following would you consider to be an example of repeated-measures design?
a.6 participants are given analgesia and 6 a placebo; effects of pain relief after 4 hours is recorded.
b.12 participants are given analgesia, all are asked to record pain level after 2 hours and again after 4 hours.
c.12 participants are asked to record pain level after 4 hours then given analgesia
Independent Samples Test
t-test for Equality of Means
t
df
Sig. (2-tailed)
number correct
Equal variances assumed
10.991
38
.000
Equal variances not assumed
10.991
30.727
.000
Explanation / Answer
1) Since p<alpha , yes there is statistically significant
2) Dependent variable is number correct
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