In: Statistics and Probability
Depression | Anxiety |
79 | 80 |
87 | 97 |
95 | 85 |
93 | 85 |
86 | 94 |
96 | 94 |
95 | 94 |
98 | 76 |
84 | 61 |
97 | 97 |
97 | 97 |
97 | 88 |
100 | 97 |
89 | 94 |
94 | 88 |
98 | 97 |
98 | 94 |
94 | 73 |
89 | 94 |
93 | 82 |
83 | 79 |
90 | 97 |
88 | 100 |
84 | 91 |
93 | 94 |
86 | 94 |
84 | 88 |
88 | 94 |
92 | 94 |
95 | 89 |
95 | 79 |
83 | 76 |
Perform the appropriate test and provide a narrative write up for the Depression and Anxiety analysis.
Solution:
Here, we have to use t test for the population correlation coefficient. The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: There is no any relationship exists between the depression and anxiety.
Alternative hypothesis: Ha: There is a relationship exists between the depression and anxiety.
H0: ρ = 0 versus Ha: ρ ≠ 0
This is a two tailed test.
We assume level of significance = α = 0.05
The test statistic formula is given as below:
t = r*sqrt(n – 2)/sqrt(1 – r^2)
From given data, we have
r = 0.26861
n = 32
df = n – 2 = 32 – 2 = 30
t = 0.26861*sqrt(32 - 2)/sqrt(1 - 0.26861^2)
t = 0.26861*sqrt(30)/ 0.963249
t = 1.471238/ 0.963249
t = 1.52737
P-value = 0.1371
(by using t-table or excel)
P-value > α = 0.05
So, we do not reject the null hypothesis
There is insufficient evidence to conclude that there is a relationship exists between the depression and anxiety.