1. Which of coming up next is a discrete irregular variable? a. The normal measure of power devoured b. The quantity of patients in an emergency clinic c. The measure of paint utilized in repainting a structure d. The normal load of female competitors _______2. In the event that two coins are thrown, which is certainly not a potential worth of the irregular variable for the quantity of heads? a. 0 b. 1 b. c. 2 d. 3 _______3. Which of coming up next is definitely not a genuine explanation? a. The worth of an irregular variable could be zero. b. Arbitrary factors can just have one worth. c. The likelihood of the worth of an arbitrary variable could be zero. d. The amount of the multitude of probabilities in a likelihood dissemination is consistently equivalent to one. _______4. Which equation gives the likelihood dissemination appeared by the table? X 2 3 6 P(X) a. b. c. d. _______5. In the event that , what are the potential upsides of X for it to be a likelihood dispersion? a. 0, 2, 3 b. 1, 2, 3 c. 2, 3, 4 d. 1, 1, 2 For numbers 6 - 8, allude to the likelihood dissemination appeared underneath. X 0 1 2 3 P(X) _______6. What is the mean of the likelihood conveyance? a. 1.5 b. 1.2 c. 1.6 d. 1.8 _______7. What is the fluctuation of the likelihood circulation a. 0.75 b. 1.00 c. 1.25 d. 0.50 _______8. What is the standard deviation of the likelihood conveyance? a. 1.00 b. 0.87 c. 1.12 d. 0.71 X 0 2 4 6 8 P(X) For numbers 9 - 10, allude to the likelihood dispersion appeared underneath. _______9. What is the mean of the likelihood dissemination? a. 1.5 b. 2.0 c. 3.5 d. 4.0 ________10. What is the change of the likelihood dissemination? a. 4.15 b. 6.35 c. 8.00 d. 7.50 ________11. Which of the accompanying assertions is right? a. The mean of the testing appropriation of the methods is not exactly the populace mean. b. The mean of the examining conveyance of the example implies is more noteworthy than the populace mean. c. The methods for the examples drawn from a populace are consistently equivalent to the populace mean. d. The methods for the examples drawn from a populace might be equivalent, more noteworthy than or not exactly the populace mean. _______12. A specific populace has a mean of 15.4 and a standard deviation of 5.6. On the off chance that arbitrary examples of size 5 is taken from this populace, which of the accompanying assertions is right? a. The mean of the testing dissemination of the example implies is equivalent to 15.4. b. The mean of the testing dispersion of the example implies is not exactly to 15.4. c. The standard deviation of the testing dispersion of the example implies is 5.6. d. The standard deviation of the testing appropriation of the example implies is 15.4. _______13. In the event that the change of the populace is 10, what is the fluctuation of the testing dissemination of the methods for size 5 drawn from this limitless populace? a. 2 b. 4.47 c. 1.41 d. 10 _______14. What is the square base of difference? a. Mean b. change c. standard deviation d. mode _______15. The amount of the information partitioned by the all out number of information is called ________. a. Mean b. change c. standard deviation d. mode. I. Give your own 5 instances of Discrete irregular variable 16. 17. 18. 19. 20. II. Give your own 5 instances of Continuous irregular variable 21. 22. 23. 24. 25.

.04891 R- 9722 22.895 0001 Test /o: BI SO vs. Ha: BI > 0. analysis. 19) Consider the following partial computer output from a simple linear regression Variable Coefficient Sid. Deviation Intercept -28.13 .088 9309 1.12 .04891 22.895 0001 R3 .9722 What is the predicted value of y when r = 1,000? 20) Consider the following partial computer output from a simple linear regression 20) analysis. Coefficient Std. Deviation F Variable -28.13 9309 Intercept -.088 1.12 04891 22.895 .0001 X R2 .9722 Calculate the correlation coefficient.Are random variables X, Y independent? C) Determine the covariance and correlation for the following joint probability distribution: UN 6 fxr (x, y) 1/8 1/4 1/2 1/8 d) Determine the value for c and the covariance and correlation for the joint probability density function fry (x, y)= cry over the range 0