In: Statistics and Probability
For the data set below, calculate r, r 2, and a 95% confidence interval in r units. Then write a one- to two-sentence conclusion statement that includes whether the null hypothesis was rejected or not. Assume a two-tailed hypothesis and α = .05.
Case 1 |
Case 2 |
Case 3 |
Case 4 |
Case 5 |
Case 6 |
|
X |
1.05 |
1.15 |
1.30 |
2.00 |
1.75 |
1.00 |
Y |
2 |
2 |
3 |
4 |
5 |
2 |
sample correlation co-efficient, r = Covariance (X,Y) / = SSxy /
=( Xi)/n = 8.25 / 6 = 1.375
=( Yi)/n = 18 /6 =3
SSxx= (Xi-)2 =(Xi2)-n.2 = 0.83375
SSyy= (Yi-)2 =(Yi2)-n.2 = 8
SSxy= (Xi-)(Yi-) =(XiYi)-n. = 27.05 - 6 * 1.375 * 3 = 2.3
So , r = 2.3 / = 0.89
Standard error of r, SE (r) = = = 0.228
t/2=0.025,4 = 2.776
95% confidence interval for correlation coefficient is
r - t/2=0.025,4 * SE (r) , r + t/2=0.025,4 * SE (r)
= .89 - 2.776 * .228 , .89 + 2.776 * .228
=0.267 , 1.522
But corellation coefficient is always less than equal to 1.
So, 95% confidence interval for correlation coefficient is [0.267 , 1 ]
H0: true correlation co-efficient =0
Ha: true correlation co-efficient 0
Since the confidence interval does not contain 0, we reject null hypothesis.
If you find my answer useful, please support me by putting thumbs up. Thank you.