is of P,0. Determine whether there is a correlation. icon to view the critical values of Spearman's rank correlation coefficient. Spearman's rank correlation coeffi Round to three decimal places as needed.) ralues are (Round to three decimal places as needed.) a/2 a/2 -1 Critical Values of Spearman's Ra Correlation Coefficient r, in a10 .0.02 900 829 943 7. 714 700 893 643 738 433 600 700 783 10 564 648 1745 11 536 816 1709
is of P,0. Determine whether there is a correlation. icon to view the critical values of Spearman's rank correlation coefficient. Spearman's rank correlation coeffi Round to three decimal places as needed.) ralues are (Round to three decimal places as needed.) a/2 a/2 -1 Critical Values of Spearman's Ra Correlation Coefficient r, in a10 .0.02 900 829 943 7. 714 700 893 643 738 433 600 700 783 10 564 648 1745 11 536 816 1709
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
I need critical values , linear
![**Instructions:**
Use the scatterplot of distance/time data for a dropped object to find the value of the rank correlation coefficient \( r_s \), and the critical values corresponding to a 0.05 significance level used to test the null hypothesis of \(\rho_s = 0\). Determine whether there is a correlation.
Click the icon to view the critical values of Spearman's rank correlation coefficient.
**Text:**
- \( r_s = 1.000 \) (Round to three decimal places as needed.)
- The critical values are \( \pm 1.000 \) (Round to three decimal places as needed.)
**Graph Description:**
- There is a scatterplot on the right, showing a distance vs. time graph for a dropped object. The x-axis is labeled "Time," and the y-axis shows distance measurements.
- A panel displays a diagram related to Spearman's rank correlation coefficient, featuring a critical value chart for different significance levels and sample sizes.
- A curve showing a normal distribution with areas marked for critical values \(\alpha/2\) on either side, representing regions for significance testing. The critical value table lists various significance levels (e.g., 0.10, 0.05, 0.02, 0.01) and their corresponding critical values for sample sizes.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F77cc80fa-a1ab-48f0-b2a0-996110f4bcad%2F1842f10d-8b04-4fc1-8813-a19ec5338269%2Faf9we6c_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Instructions:**
Use the scatterplot of distance/time data for a dropped object to find the value of the rank correlation coefficient \( r_s \), and the critical values corresponding to a 0.05 significance level used to test the null hypothesis of \(\rho_s = 0\). Determine whether there is a correlation.
Click the icon to view the critical values of Spearman's rank correlation coefficient.
**Text:**
- \( r_s = 1.000 \) (Round to three decimal places as needed.)
- The critical values are \( \pm 1.000 \) (Round to three decimal places as needed.)
**Graph Description:**
- There is a scatterplot on the right, showing a distance vs. time graph for a dropped object. The x-axis is labeled "Time," and the y-axis shows distance measurements.
- A panel displays a diagram related to Spearman's rank correlation coefficient, featuring a critical value chart for different significance levels and sample sizes.
- A curve showing a normal distribution with areas marked for critical values \(\alpha/2\) on either side, representing regions for significance testing. The critical value table lists various significance levels (e.g., 0.10, 0.05, 0.02, 0.01) and their corresponding critical values for sample sizes.
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