You are running correlation analysis on a data set with 11 items. You calculate the correlation coefficient to be 0.435 .
What is the critical value?
Is there significant correlation?
Yes
No
Final Answer: The critical value is approximately \( \boxed{2.262} \). There is \( \boxed{no} \) significant correlation.
Step 1 :We are given a data set with 11 items and a calculated correlation coefficient of 0.435.
Step 2 :The critical value for a correlation coefficient can be determined using a statistical table for the Pearson correlation coefficient. The critical value depends on the number of items in the data set (degrees of freedom) and the desired significance level.
Step 3 :In this case, we have 11 items, so the degrees of freedom would be 11-2 = 9. The commonly used significance level is 0.05 (5%).
Step 4 :We can then compare the calculated correlation coefficient with the critical value to determine if there is a significant correlation. If the absolute value of the correlation coefficient is greater than the critical value, then there is a significant correlation.
Step 5 :The critical value for a correlation coefficient with 9 degrees of freedom at a 0.05 significance level is approximately 2.262.
Step 6 :The absolute value of the calculated correlation coefficient (0.435) is less than the critical value, so there is not a significant correlation.
Step 7 :Final Answer: The critical value is approximately \( \boxed{2.262} \). There is \( \boxed{no} \) significant correlation.