A psychologist was interested in whether there was a gender difference in the us
ID: 3046460 • Letter: A
Question
A psychologist was interested in whether there was a gender difference in the use of e-mail. She hypothesized that because women are generally better communicators than men, they would spend longer using e-mail than their male counterparts. To test this hypothesis, the researcher sat by the e-mail computers in her research methods laboratory and when someone started using e-mail, she noted whether they were male or female and then timed how long they spent using e-mail (in minutes). Based on the SPSS output below, what should she report?
Group statistics
Gender
N
Mean
Std. Dev.
Std. Error
Mean
Time using e-mail (Day 2) Male
Female
8
8
5.000
32.000
4.5039
40.0464
1.5924
14.1585
Levene's Test for Equality of Variances
F
Sig.
Time Using Email (Day 2) Equal variances assumed
Equal variances not assumed
12.999
.003
t-test for Equality of Means
t
df
Sig. (2-tailed)
Time Using Email (Day 2) Equal variances assumed
Equal variances not assumed
-1.895
-1.895
14
7.18
.079
.099
Mean Differences
Std. Error Difference
95% Conf. Intervals Lower Upper
Equal variances assumed
Equal variances not assumed
-27.000
-27.000
14.2478
14.2478
-57.558 3.558
-60.523 6.523
Females spent significantly more time using e-mail than males, t(7.18) = -1.90, p < .05.
Females spent significantly more time using e-mail than males, t(14) = -1.90, p < .05.
Females and males did not differ significantly in the time spent using e-mail, t(7.18) = -1.90, ns.
Females and males did not differ significantly in the time spent using e-mail, t(14) = -1.90, ns.
A psychologist was interested in whether there was a gender difference in the use of e-mail. She hypothesized that because women are generally better communicators than men, they would spend longer using e-mail than their male counterparts. To test this hypothesis, the researcher sat by the e-mail computers in her research methods laboratory and when someone started using e-mail, she noted whether they were male or female and then timed how long they spent using e-mail (in minutes). Based on the SPSS output below, what should she report?
Group statistics
Gender
N
Mean
Std. Dev.
Std. Error
Mean
Time using e-mail (Day 2) Male
Female
8
8
5.000
32.000
4.5039
40.0464
1.5924
14.1585
Levene's Test for Equality of Variances
F
Sig.
Time Using Email (Day 2) Equal variances assumed
Equal variances not assumed
12.999
.003
t-test for Equality of Means
t
df
Sig. (2-tailed)
Time Using Email (Day 2) Equal variances assumed
Equal variances not assumed
-1.895
-1.895
14
7.18
.079
.099
Mean Differences
Std. Error Difference
95% Conf. Intervals Lower Upper
Equal variances assumed
Equal variances not assumed
-27.000
-27.000
14.2478
14.2478
-57.558 3.558
-60.523 6.523
a.Females spent significantly more time using e-mail than males, t(7.18) = -1.90, p < .05.
b.Females spent significantly more time using e-mail than males, t(14) = -1.90, p < .05.
c.Females and males did not differ significantly in the time spent using e-mail, t(7.18) = -1.90, ns.
d.Females and males did not differ significantly in the time spent using e-mail, t(14) = -1.90, ns.
Explanation / Answer
as p value for Levene's Test is very low ; we can not assume equal variance ;
option A is correct
a.
Females spent significantly more time using e-mail than males, t(7.18) = -1.90, p < .05.
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