A social gerontologist believes that there is a connection between the weekly number of hours elderly people spend volunteering and life satisfaction. They conducted a study and collected the following data.
Participant | Weekly Hours Volunteering | Level of Life Satisfaction |
A | 12 | 16 |
B | 10 | 30 |
C | 3 | 5 |
D | 5 | 7 |
E | 18 | 42 |
F | 7 | 10 |
G | 22 | 51 |
* Volunteer Hours was measured by asking the participants , "On average, how many hours do you volunteer each week?"_______
*Life Satisfaction scores ranged from 0 (low sense of life satisfaction) to 60 (high sense of life satisfaction).
Use this data to answer problems #1 through #5.
Question 1
What is the correlation coefficient? (round to the thousandths if necessary)
Question 2
What is the relationship between the two variables?
Group of answer choices
negative; moderate
positive; weak
negative; strong
positive; strong
Question 3
What is the critical value in Table R?
Question 4
Is the correlation significant?
Group of answer choices
Yes, the correlation is significant.
No, the correlation is not significant.
I do not have enough information to answer this question.
Question 5
Should the researcher reject or retain the null hypothesis?
Group of answer choices
The researcher should retain the null hypothesis.
The researcher should reject the null hypothesis.
I do not have enough information to answer this question.
Participant | Weekly Hours Volunteering | Level of Life Satisfaction | |
A | 12 | 16 | |
B | 10 | 30 | |
C | 3 | 5 | |
D | 5 | 7 | |
E | 18 | 42 | |
F | 7 | 10 | |
G | 22 | 51 | |
Correlation coefficient | 0.949266117 | CORREL(Weekly Hours Volunteering,Level of Life Satisfaction) |
1)
the correlation coefficient (r) = 0.9493
2)
positive; strong relationship between the two variables
3)
Let alpha = 0.05
n = 7
df = n−2 = 7−2 =5
the critical value (rc) = 0.754 (Use R table)
4)
r stat > r critical
Yes, the correlation is significant.
5)
H0: ρ = 0
Ha: ρ not = 0
The researcher should reject the null hypothesis.
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