Answer:
Th computed value of the test statistic is 3.597
Step-by-step explanation:
The null and the alternative hypothesis is as follows:
Null Hypothesis:
[tex]\mathbf{H_o:}[/tex] the population correlation coefficient is equal to zero
[tex]\mathbf{H_a:}[/tex] the population correlation coefficient is not equal to zero
The test statistics for Pearson correlation coefficient is thus computed as :
[tex]t =\dfrac{r \sqrt{(n-2)}} { \sqrt{(1-(r)^2)} }[/tex]
where;
r = correlation coefficient = 0.60
n = sample size = 25
So;
[tex]t =\dfrac{0.60 \sqrt{(25-2)}} { \sqrt{(1-(0.60)^2)} }[/tex]
[tex]t =\dfrac{0.60 \sqrt{(23)}} { \sqrt{(1-0.36} }[/tex]
[tex]t =\dfrac{0.60 *4.796} {0.8}[/tex]
t = 3.597
Comparing to a critical value of t (23 degrees of freedom two-tailed value) = 2.069
Decision Rule:
Since computed value of t is greater than the critical value of t; We reject the null hypothesis and accept the alternative hypothesis.
Conclusion:
We conclude that the population correlation coefficient significantly differs from 0 at 5% (0.05) level of significance.