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Please assist Class (kg) Freq, f [80; 100) 4 [100; 120) 9 [120; 140) 13 [140; 160) LO [160; 180) 5 40 The variance (in

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Class (kg) Freq, f [80; 100) 4 [100; 120) 9 [120; 140) 13 [140; 160) LO [160; 180) 5 40 The variance (in kg 2) is approximately: O a. 48.72 O b. 23.51 O c. 552.82 O d. 577.32 O e. None of the aboveClass (kg) Freq, f (80; 100) 4 [100; 120) 9 [120; 140) 13 [140; 160) 9 [160; 180) 5 40 The co-efficient of variation along with its interpretation is: O a. 22%; Data is widely dispersed about the mean. O b. 18%; Data is clustered about the mean. O c. 18%; Data is widely dispersed about the mean. O d. 22%; Data is clustered about the mean. O e. None of the aboveSelect the value that cannot be a correlation coefficient. O a. -1.15 O b. -0.44 O c. 0 O d. 0.99 O e. None of the aboveIf the correlation coefficient between number of years of experience of an employee and the monthly remuneration received by an employee is equal to 0.814, the percentage of variation in the monthly remuneration received that can be explained by the number of years of experience is given by: O a. 50.0% O b. 66.3% O c. 81.4% O d. 90.2% O e. None of the aboveQuaem 15 1!! refer to the problem below. A clinical psychologist is investigating whether the number of mistakes made by an employee can be forecasted by the number of tasks an employee was busyr with. She randomly assigned a different number of tasks {of the same level of oompleidty] to each of eight participants. After a participant completed all assigned tasks. the psychologist calculated the number of errors made. The data for all eight participants have been listed in the table below: hlumber of tasks performed 2 T 2 5 3 simultaneoust Number of errors made Hum The person correlation coefcient for the above data is: C5 a. [3.5531 0 b. (1553'! O (2. [1.8031 Q d. {ll C5 e. None of the above A clinical psychologist is investigating 1whether the number of mistakes made by an employee can be forecasted by the number of tasks an employee was busy with. She randomly assigned a different number of tasks {of the same level of oomplexity} to each of eight participants. After a participant completed all assigned tasks. the psychologist calculated the number of errors made. The data for all eight participants have been listed in the table below: N be fta ks ff ed _um ro s pe orm 24? 25 3 slmultaneously 2 Number of errors made HHHHHHI The relationship between 3-: and y is; O a. weak and positive. 0 b. strong and positive. 0 c. weak and negative. 0 d. strong and negative. 0 e. None of the above A clinical psychologist is investigating whether the number of mistakes made by an employee can be forecasted by the number of tasks an employee was busy with. She randomly assigned a different number of tasks {of the same level of complexity} to each of eight participants. After a participant completed all assigned tasks. the psychologist calculated the number of errors made. The data for all eight participants have been listed in the table below. hlumber of tasks performed 24? 25 3 simultaneously 2 Number of errors made inil The linear regression equation is: O a. 'l' = BEETS}: - 1.35T'l4 O b. 'I' = DJE'IQX + 1.35T'l4 O c. 'l" = BEEN)! + 2.45429 0 d. 'i" = H.85T1X 2.46429 {3' e. None of the above A clinical psychologist is investigating whether the number of mistakes made by an employee can be forecasted by the number of tasks an employee was busy with. She randomly assigned a different number of tasks {of the same leyei of complexity] to each of eight participants. After a participant completed all assigned ta sks. the psychologist calculated the number of errors made. The data for all eight participants have been listed in the table below. N be ftaks rfo ed 3"" \"2" 5 FE "n 24? 25 s simultaneouslyr 2 Number of errors made HHHHHHI Estimate the number of mistakes made by an employee with tour tasks to be completed simultaneously. O a. HTBEE O b. 1.5935 0 c. 4.434? Q d. 5.89269 0 e. None of the above Events A and B will be statistically independent when O a. P(AnB)=0 O b. P(AUB)=P(A)+P(B)-P(AnB) O c. P(A B)=P(BIA) O d. P(AnB)=P(A) * P(B) O e. None of the aboveFor any two events A and B: O a. If A is an impossible event, P(A) will be close to 0. O b. P (A) = 0.99 implies that event A is certain to take place. O c. The complement of (AUB) is (An B") O d. P(An AC) = 1 as event A will either happen or not. O e. None of the above

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