In: Statistics and Probability
In this problem, we use your critical values table to explore the significance of r based on different sample sizes.
(a) Is a sample correlation coefficient ρ = 0.84 significant at the α = 0.01 level based on a sample size of n = 5 data pairs? What about n = 9 data pairs? (Select all that apply.)
No, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 9 and α = 0.01.
Yes, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 5 and α = 0.01.
Yes, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 9 and α = 0.01.
No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 9 and α = 0.01.
No, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 5 and α = 0.01.
Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 9 and α = 0.01.
Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 5 and α = 0.01.
No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 5 and α = 0.01.
(b) Is a sample correlation coefficient ρ = 0.41 significant at the α = 0.05 level based on a sample size of n = 16 data pairs? What about n = 29 data pairs? (Select all that apply.)
Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 29 and α = 0.05.
Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 16 and α = 0.05.
No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 29 and α = 0.05.
No, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 29 and α = 0.05.
Yes, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 29 and α = 0.05.
No, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 16 and α = 0.05.
No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 16 and α = 0.05.
Yes, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 16 and α = 0.05.
we want to test the significance of r.
The null & alternative Hypothesis:
Ho:- r is not significant.
vs
H1:- r is significant.
we will find critical value from the table for df = n-2.
If the r-value is greater than the positive critical value then we can conclude that the correlation coefficient is significant.
1) Is a sample correlation coefficient ρ = 0.84 significant at the α = 0.01 level based on a sample size of n = 5 data pairs? What about n = 9 data pairs?
i) for ρ = 0.84 & the α = 0.01 level based on a sample size of n = 5.
df = n-2 = 5-2 = 3
for df = 3 ; α = 0.01
The critical value from table is 0.958735
ρ = 0.84 < 0.958735
correlation coefficient is not significant at for n= 5; α = 0.01
ii)
for ρ = 0.84 & the α = 0.01 level based on a sample size of n = 9.
df = n-2 = 9-2 = 7
for df = 7; α = 0.01
The critical value from table is 0.797681
ρ = 0.84 > 0.797681
correlation coefficient is significant at for n= 9; α = 0.01
Answer:-
i) Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 9 and α = 0.01.
ii) No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 5 and α = 0.01.
2)
Is a sample correlation coefficient ρ = 0.41 significant at the α = 0.05 level based on a sample size of n = 16 data pairs? What about n = 29 data pairs?
i) for ρ = 0.41 & the α = 0.05 level based on a sample size of n = 16.
df = n-2 = 16-2 = 14
for df = 14; α = 0.05
The critical value from table is
ρ = 0.41 > 0.497309
correlation coefficient is significant at for n= 16; α = 0.05
ii)
for ρ = 0.41 & the α = 0.05 level based on a sample size of n = 29.
df = n-2 = 29-2 = 27
for df = 27; α = 0.05
The critical value from table is 0.367278
ρ = 0.41 < 0.367278
correlation coefficient is not significant at for n= 29; α = 0.05
Answer:-
i) Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 16 and α = 0.05.
ii)No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 29 and α = 0.05.