You want to determine if people are more satisfied with their relationships if they see their partner for more time each day. You were in the process of studying relationships when the COVID Pandemic broke out. You have data on partner satisfaction from February on 10 couples. You had asked them how satisfied they were with their partners at that time. You ask them the same question now (late June). You get the following results. What do you conclude? In case you cannot see the tabe I have attached the question so you can download it if needed.
Feb |
June |
D |
D2 |
|
19 |
22 |
-3 |
9 |
|
22 |
20 |
2 |
4 |
|
14 |
18 |
-4 |
16 |
|
15 |
18 |
-3 |
9 |
|
18 |
23 |
-5 |
25 |
|
15 |
14 |
1 |
1 |
|
17 |
22 |
-5 |
25 |
|
20 |
23 |
-3 |
9 |
|
13 |
15 |
-2 |
4 |
|
21 |
22 |
-1 |
1 |
|
SUM |
174 |
197 |
-23 |
103 |
St Dev |
3.0984 |
3.3015 |
2.3594 |
8.9573 |
Sol:
perform paired t test
Ho:Mud=Mu1-Mu2=0
Ha:Mud=Mu1-Mu2<0
people are more satisfied with their relationships if they see their partner for more time each day.
Mu1=mean satisfaction scores for feb
Mu2=mean satisfaction scores after for june
alpha=0.05
test statistic
t=Xdbar-o/sd/sqrt(n)
Xdbar=-23/10=-2.3
sd=2.3594
n=10
t=(-2.3-0)/(2.3594/sqrt(10))
t=-3.082664
df=n-1=10-1=9
p value in excel
=T.DIST(-3.082664,9,TRUE)
=0.006541773
P<0.05
Reject Ho
Accept Ha
Conclusion:
There is suffcient statistical evidence at 5% level of significance to conclude that people are more satisfied with their relationships if they see their partner for more time each day.
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