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(d) Compute Pearson's correlation coefficient between the Test 1 and Test 4 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 1 and Test 4: XXXX (e) Compute Pearson's correlation coefficient between the Test 2 and Test 3 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 2 and Test 3: XXXX (f) Compute the average reaction time of each participant in the Day-time tests (that is, the average of the responses for each participant in Test 1 and Test 2). Generate the following output to the command window: Average RT (ms) of participants in the Day-time tests: 862.5 9001 9002 585.5 9003 607.5 9004 657.5 9005 9006 479.5 599.5 9007 701.5 9008 633.5 9009 721 9010 382.5 9011 661.5 9012 450 Hint: For this step, create a new matrix with the participants IDs and the average reaction times for the Day-time and Night-time tests. This matrix will have three columns. Use this new matrix for the following parts to this question.

(d) Compute Pearson's correlation coefficient between the Test 1 and Test 4 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 1 and Test 4: XXXX (e) Compute Pearson's correlation coefficient between the Test 2 and Test 3 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 2 and Test 3: XXXX (f) Compute the average reaction time of each participant in the Day-time tests (that is, the average of the responses for each participant in Test 1 and Test 2). Generate the following output to the command window: Average RT (ms) of participants in the Day-time tests: 862.5 9001 9002 585.5 9003 607.5 9004 657.5 9005 9006 479.5 599.5 9007 701.5 9008 633.5 9009 721 9010 382.5 9011 661.5 9012 450 Hint: For this step, create a new matrix with the participants IDs and the average reaction times for the Day-time and Night-time tests. This matrix will have three columns. Use this new matrix for the following parts to this question.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Consider the following table that contains the IDs of 12 participants and their crash- avoidance reaction times (in milliseconds) on four tests. Two tests were done during the day in daylight and two tests were done at night with reduced lighting. Crash-avoidance Reaction Time (ms) Participant Day Night ID Test 1 Test 2 Test 3 Test 4 9001 887 838 765 648 9002 680 491 953 767 9003 662 553 985 696 9004 789 526 581 770 9005 508 451 688 714 9006 566 633 856 642 9007 656 747 846 718 9008 776 491 944 604 9009 770 672 814 617 9010 333 432 591 602 9011 730 593 796 700 9012 496 404 846 892 rt.xisx in the This question has multiple parts. Create output to MATLAB's command window exactly as shown, except replacing xxxx with actual values, as instructed. You may use the disp command, but not the fprintf command If you have difficulty with the alignment or formatting of numeric output, add the command format shortg near the top of your solution. In your solution, put the following MATLAB statements at the beginning of each part: % Question 5<x> solution disp('----- q5<x> solution -----'); Instead of "<x>", substitute the question part ("a" for part a, "b" for part b, and so on).
Transcribed Image Text:Consider the following table that contains the IDs of 12 participants and their crash- avoidance reaction times (in milliseconds) on four tests. Two tests were done during the day in daylight and two tests were done at night with reduced lighting. Crash-avoidance Reaction Time (ms) Participant Day Night ID Test 1 Test 2 Test 3 Test 4 9001 887 838 765 648 9002 680 491 953 767 9003 662 553 985 696 9004 789 526 581 770 9005 508 451 688 714 9006 566 633 856 642 9007 656 747 846 718 9008 776 491 944 604 9009 770 672 814 617 9010 333 432 591 602 9011 730 593 796 700 9012 496 404 846 892 rt.xisx in the This question has multiple parts. Create output to MATLAB's command window exactly as shown, except replacing xxxx with actual values, as instructed. You may use the disp command, but not the fprintf command If you have difficulty with the alignment or formatting of numeric output, add the command format shortg near the top of your solution. In your solution, put the following MATLAB statements at the beginning of each part: % Question 5<x> solution disp('----- q5<x> solution -----'); Instead of "<x>", substitute the question part ("a" for part a, "b" for part b, and so on).
(d) Compute Pearson's correlation coefficient between the Test 1 and Test 4 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 1 and Test 4: XXXX (e) Compute Pearson's correlation coefficient between the Test 2 and Test 3 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 2 and Test 3: XXXX (f) Compute the average reaction time of each participant in the Day-time tests (that is, the average of the responses for each participant in Test 1 and Test 2). Generate the following output to the command window: Average RT (ms) of participants in the Day-time tests: 9001 862.5 9002 585.5 9003 607.5 9004 657.5 9005 479.5 9006 599.5 9007 701.5 9008 633.5 9009 721 9010 382.5 9011 661.5 9012 450 Hint: For this step, create a new matrix with the participants IDs and the average reaction times for the Day-time and Night-time tests. This matrix will have three columns. Use this new matrix for the following parts to this question.
Transcribed Image Text:(d) Compute Pearson's correlation coefficient between the Test 1 and Test 4 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 1 and Test 4: XXXX (e) Compute Pearson's correlation coefficient between the Test 2 and Test 3 reaction times. Output the computed correlation coefficient score to the command window: Correlation coefficient between Test 2 and Test 3: XXXX (f) Compute the average reaction time of each participant in the Day-time tests (that is, the average of the responses for each participant in Test 1 and Test 2). Generate the following output to the command window: Average RT (ms) of participants in the Day-time tests: 9001 862.5 9002 585.5 9003 607.5 9004 657.5 9005 479.5 9006 599.5 9007 701.5 9008 633.5 9009 721 9010 382.5 9011 661.5 9012 450 Hint: For this step, create a new matrix with the participants IDs and the average reaction times for the Day-time and Night-time tests. This matrix will have three columns. Use this new matrix for the following parts to this question.
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