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Assignment 2: Significance t-Test for a Single Sample
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Instructions:
From all the previous week forums. (All the previous orders)
Attached are the instructions for Week 6 Assignment 2: Tests of Significance. Please read the instructions carefully. This assignment DOES NOT use GSS 2012 data set.
Note: I will also need the Output.sav file attachment.
Thank you.
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Tests of Significance
Name of Student
Institution Affiliation
Tests of Significance
Mock Study 1: t-Test for a Single Sample
Research hypothesis
Alternative hypothesis
Null Hypothesis
H0: Average number of activities of daily living obtained after therapy is significantly different from a mean number of activities of 17 (typical for depressed people).
Alternative Hypothesis
H1: Average number of activities of daily living obtained after therapy is not significantly different from a mean number of activities of 17 (typical for depressed people).
This study mock uses both .05 and .01 significance levels to test the hypotheses
The following data is uploaded onto IBM SPSS 24 for analysis:
CLIENT
AFTER THERAPY
A
18
B
14
C
11
D
25
E
24
F
17
G
14
H
10
I
23
J
11
K
22
L
19
Significant Level- P=0.05
Activities on daily living is denoted by ADL in the analysis
One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
ADL
12
17.33
5.365
1.549
One-Sample Test
Test Value = 17
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence Interval of the Difference
Lower
Upper
ADL
.215
11
.834
.333
-3.08
3.74
The average number of activities on daily living (ADL) is 17.33 at p= .834. We therefore fail to reject the null hypothesis since the significant value is greater 0.05 (p> .05).
Significant Level- P=0.01
One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
ADL
12
17.33
5.365
1.549
One-Sample Test
Test Value = 17
t
df
Sig. (2-tailed)
Mean Difference
99% Confidence Interval of the Difference
Lower
Upper
ADL
.215
11
.834
.333
-4.48
5.14
The average number of activities on daily living (ADL) is also 17.33 at p= .834. We therefore fail to reject the null hypothesis since the significant value is greater 0.05 (p> .05).
Therefore, the average number of activities of daily living obtained after therapy is significantly different from a mean number of activities of 17 (typical for depressed people) at both .05 and .01 significance levels.
Mock Study 2: t- Test for Dependent Means
Research hypothesis
Null hypothesis
H0: The observed differences in the numbers of activities of daily living obtained before and after therapy are statistically significant.
Alternative Hypothesis
H1: The observed differences in the numbers of activities of daily living obtained before and after therapy are not statistically significant.
This study mock uses .05 significance level to test the hypotheses
The following data is uploaded onto IBM SPSS 24 for analysis:
CLIENT
BEFORE THERAPY
AFTER THERAPY
A
11
17
B
7
12
C
10
12
D
13
21
E
9
16
F
8
17
G
13
17
H
12
8
Paired Samples Statistics
Mean
N
Std. Deviation
Std. Error Mean
Pair 1
ADLPRE
10.38
8
2.264
.800
ADLPOST
15.00
8
4.071
1.439
Paired Samples Correlations
N
Correlation
Sig.
Pair 1
ADLPRE & ADLPOST
8
.248
.554
Paired Samples Test
Paired Differences
t
df
Sig. (2-tailed)
Mean
Std. Deviation
Std. Error Mean
95% Confidence Interval of the Difference
Lower
Upper
Pair 1
ADLPRE - ADLPOST
-4.625
4.138
1.463
-8.085
-1.165
-3.161
7
.016
The from the tables above, the average numbers of activities of daily living before therapy (ADLPRE) is 10.38 against the average numbers of activities of daily living after therapy which is 15. The significant level is .016. We, therefore, reject the null hypothesis and accept the alternative hypothesis since the p< 0.05. Therefore, the observed differences in the numbers of activities of daily living obtained before and after therapy are not statistically significant at p=0.05.
Mock Study 3: t-Test for Independent Samples
Research hypothesis
Null Hypothesis:
H0: The job satisfaction scores of the group that participated in counseling session are statistically different from the scores of employees who chose not to participate in counseling sessions
Alternative Hypothesis
H1: The job satisfaction scores of the group that participated in counseling session are not statistically different from the scores of employees who chose not to participate in counseling sessions
This study mock uses .01 significance level to test the hypothesis hypotheses
The following data is uploaded onto IBM SPSS 24 for analysis:
PARTICIPATED IN COUNSELING
DID NOT PARTICIPATE IN COUNSELING
36
38
39
36
41
36
36
32
37
30
35
39
37
41
39
35
42
33
Group Statistics
group
N
Mean
Std. Deviation
Std. Error Mean
ADL
PARTICIPATED IN COUNSELING
9
38.00
2.398
.799
DID NOT PARTICIPATE IN COUNSELING
9
35.56
3.504
1.168
Independent Samples Test
Levene's Test for Equality of Variances
t-test for Equality of Means
F
Sig.
t
df
Sig. (2-tailed)
Mean Difference
Std. Error Difference
99% Confidence Interval of the Difference
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