6. Following are the marks obtained by 10 students in a class in twotests :StudentsBCEGHIJTest 170686755606075636072Test 265658060685875636070Calculate the rank correlation cocilicient between the marks of two tests.(i) 60 is repeated 3 times in test 1(ii) 60,65 is repeated twice in test 2.

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Answered: 6. Following are the marks obtained by…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Variable A and Variable B are very highly correlated at r = -.89. Joe’s z-score on Variable A is -1.5. Which of the following would be the best guess for his z score on Variable B? a. 0 b. -1.335 c. 1.5 d. -1.5 e. -0.90
5. The coefficient of rank correlation of the marks obtained by 10 students in maths and statistics was found to be 0.5. It was later discovered that the difference in ranks in two subjects obtained by one of the students was wrongly taken as 3 instead of 7. Find the correct coefficient of rank correlation.
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Q2) The following data represents the results of an experimental test, if the relation between variables take the form y=ae^(bvx) y = aeb√x X 4 7 12 15 24 y 13 10 9 7 4 * the correlation coefficient of the above (2 relation 0.9927 0.9727 0.9772 0.9977 none of all above
The following information represents the scores that 14 students obtained (X) in Test-1 and in Test-2 (y) by 14 students: Ty-876. Ey? - 65850, Ex= 854, Ex2- 64222, and Exy - 64346 The sample correlation coefficient is: O 0.943 O 0.7968 O 0.8501 O 0.8034
4) The following data gives the distribution of scores of 10 students in mathematics and statistics in a test. Find the correlation coefficient r (X,Y). Scores in Mathematics(X): 27 31 32 26 37 Scores in Statistics (Y): 31 34 26 32 37 a) - 0.359 b) 0 - 0.953 c) - 0.539 d) - 0.395 35 35 26 28 29 38 32 39 33 32
The following results were obtained in a study of correlation coefficient between two variables X and Y : n=50, x =10, o,=3; y O, = 2; r. = 0.3. xy || However, on subsequent verification it was found that one value of X = 10 and one value of Y = 6 were inaccurate and hence weedėd out. With the remaining values how is the original value of correlation coefficient affected.
13.
Suppose that you want to compare the means of several treatments in a randomized block ANOVA. If given the choice between using the randomized block ANOVA test and the Friedman test, which one would you choose if outliers occur in the sample data? Explain your answer.
5. Use the following table to answer the question given below. Coefficient of correlation Dimension Sig (p) with variable F A -0.053 0.000 B 0.821 0.000 C -0.755 0.000 D 0.255 0.000 E -0.632 0.000 7 Comment on the correlation coefficient values (i.e. the relationship and its strength) given in the above table.
This is a continuation of the last question I posted: f. The value of linear correlation coefficient r is i. 0.948 ii. 0.974 iii. -0.948 iv. -0.974 g.Based on your answer in part (f), the linear dependance between weekly exercise time and change in cholesterol level is strong negative i. True ii. False H. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent confidence interval for change in cholesterol level is (197.3, 225.4). This means that: i. If one person exercises 460 minutes per week, his/hers change in cholesterol level will be between 197.3 and 225.4 with 95 percent certainty.ii. If several people exercise 460 minutes per week, their average change in choles- terol level will be between 197.3 and 225.4 with 95 percent certainty. I. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent prediction interval for change in cholesterol level is (155.1, 267.6). This means that i. If one person…

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