In: Statistics and Probability
For the next three questions use this information to calculate the values listed below the data set.
The following table shows the before and after effects of a policy change that increases the number of visits by caregivers to those homes with people needing assistance. Data were gathered for 6 months prior to the policy change (a time when visits were once per day in the morning) and after the policy change (visits increased from once per day to 2-3 times per day). The scores were from a modified life enthusiasm scale where higher scores indicated higher contentment. Do the data presented show an increase in contentment? Test at α=.01
Life Contentment Change |
||||
Participant # |
Prior to Policy Change |
Post Policy Change |
D |
|
1 |
3 |
6 |
-3 |
|
2 |
8 |
14 |
-6 |
|
3 |
4 |
8 |
-4 |
|
4 |
6 |
4 |
2 |
|
5 |
9 |
16 |
-7 |
|
6 |
2 |
7 |
-5 |
|
7 |
12 |
17 |
-5 |
What is(are) the critical value(s) for this information?
(Round to two decimal places, and if two tailed please put only the
positive value)
Let us denote the difference
d = Post to Policy - Prior to Policy
So, there is sufficient evidence to support the claim that there is an increase in contentment.
ans-> The critical value is = 3.143