Analysis #5
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Marywood University *
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Jun 6, 2024
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Ashley Chrysler Analysis # 5 (a) Do females and males differ in current GPA?
Females current GPA (3.333) does significantly differ from males (3.023). The two-sided p value
of 0.004 is less than an alpha value of 0.05, meaning the null hypothesis should be rejected and t = -3.030 falls in the region of rejection.
t(48) = -3.030, p = 0.004. Group Statistics
gender of student
N
Mean
Std. Deviation
Std. Error Mean
student's current gpa
males
26
3.023
.3983
.0781
females
24
3.333
.3171
.0647
Independent Samples Test
Levene's Test for Equality of
Variances
t-test for
Equality of
Means
F
Sig.
t
student's current gpa
Equal variances assumed
.370
.546
-3.030
Equal variances not assumed
-3.058
Independent Samples Test
t-test for Equality of Means
df
Significance
One-Sided p
Two-Sided p
student's current gpa
Equal variances assumed
48
.002
.004
Equal variances not assumed
47.023
.002
.004
Independent Samples Test
t-test for Equality of Means
Mean Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
student's current gpa
Equal variances assumed
-.3103
.1024
-.5161
Equal variances not assumed
-.3103
.1015
-.5143
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of
the Difference
Upper
student's current gpa
Equal variances assumed
-.1044
Equal variances not assumed
-.1062
(b) Do males and females differ in the number of hours they watch television each day?
The mean number of hours males watch television each day (13.04) is not significantly different from the number of hours females watch television each day (10.83). The two-sided p value of 0.204 is greater than an alpha value of 0.05, meaning the null hypothesis should be retained and t
= 1.286 falls in the region of acceptance.
t(48) = 1.286, p = 0.204
Group Statistics
gender of student
N
Mean
Std. Deviation
Std. Error Mean
amount of tv watched per week
males
26
13.04
6.328
1.241
females
24
10.83
5.746
1.173
Independent Samples Test
Levene's Test for Equality of Variances
t-test for
Equality of
Means
F
Sig.
t
amount of tv watched per week
Equal variances assumed
.821
.369
1.286
Equal variances not assumed
1.291
Independent Samples Test
t-test for Equality of Means
df
Significance
One-Sided p
Two-Sided p
amount of tv watched per week
Equal variances assumed
48
.102
.204
Equal variances not assumed
47.990
.101
.203
Independent Samples Test
t-test for Equality of Means
Mean Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
amount of tv watched per week
Equal variances assumed
2.205
1.714
-1.242
Equal variances not assumed
2.205
1.707
-1.228
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of the Difference
Upper
amount of tv watched per week
Equal variances assumed
5.652
Equal variances not assumed
5.638
(c) Is the positive evaluation of the students’ institutions signifigantly different than the positive evaluation of the students’ majors?
The mean positive evaluation of students’ institutions (3.39) is not significantly different from the mean positive evaluation of students’ majors (3.27). The two-sided p value of 0.182 is greater
than an alpha value of 0.05, meaning the null hypothesis should be retained and t = 1.353 falls in the region of acceptance.
t(49) = 1.353, p = 0.182
Paired Samples Statistics
Mean
N
Std. Deviation
Std. Error Mean
Pair 1
positive evaluation, institution
3.39
49
.953
.136
positive evaluation, major
3.27
49
.953
.136
Paired Samples Test
Paired Differences
Mean
Std. Deviation
Std. Error Mean
95% Confidence
Interval of the
Difference
Lower
Pair 1
positive evaluation, institution
- positive evaluation, major
.122
.634
.091
-.060
Paired Samples Test
Paired
Differences
t
df
Significance
95% Confidence
Interval of the
Difference
One-Sided p
Two-Sided p
Upper
Pair 1
positive evaluation, institution - positive evaluation, major
.304
1.353
48
.091
.182
(d) Is the positive evaluation of the students’ institutions significantly different than the positive evaluation of the students’ social lives?
The mean positive evaluation of students’ institutions (3.38) is not significantly different from
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Related Questions
You run a regression analysis on a bivariate set of data (n =
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y = – 3.546x 4.393
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What is the predicted explanatory value?
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%3D
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What is the predicted response value?
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Anxiety
FinalExam
Anxiety
Pearson Correlation
1
-.691*
Sig. (2-tailed)
.027
N
10
10
FinalExam
Pearson Correlation
-.691*
1
Sig. (2-tailed)
.027
N
10
10
*. Correlation is significant at the 0.05 level (2-tailed).
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
861.959
1
861.959
7.301
.027b
Residual
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8
118.055
Total
1806.400
9
a. Dependent Variable: FinalExam
b. Predictors: (Constant), Anxiety
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
125.883…
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Related Questions
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