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<\/div><\/div><\/div> 6. [fall the x values were increased by Sin this table, then the answer to question 3 would be a) unchanged b) increased by 25 c) multiplied by 25 d) none of the above '1'. [fall the x values were increased by 5 in this table. then the answer to question 4 would be a) unchanged b) increased by 25 c) multiplied by 25 d) none of the above 8. [fall the x values were multiplied by 5 in this table. then the answer to question 2 would be h) unchanged b) increased by S c) multiplied by 5 d) indeterminate 9. [fall the x values were multiplied by 5 in this table. then the answer to question 3 would be h) unchanged b) increased by 25 c) multiplied by 25 d) none of the above 10. [fall the x values were multiplied by 5 in this table. then the answer to question 4 would be a) unchanged b) increased by 25 c) multiplied by 25 d) none of the above The next 17 questions refer to variables X and Y with the following joint distribution prouxm Y=4 Y=S Y=6 X=l .l .05 k X=2 .05 .1 .l X=3 .1 .1 .4 11.Thevalueofkis a) o b] .1 c] .2 d] indeterminate 12. If I how that Y=4. then the probability that X23 is a) .1 1:025 c] .4 .1315 13. If I don't know anything about: the value on, then the probabilitythat X=3 is a) .1 h) .2 c] .4 d] .6 14. If I know that Y=S. then the expected value of X is a) 0.55 b) 2.0 c) 2.2 d) 2.5 15. If I don't know anything about Y, then the expected value of: is a) 2.0 b] 2.25 c] 2.45 d) indeterminate 16. If I know that Y=5. then the variance ofX is a) .56 b) .75 c) 4.84 d) 5.4 1'7. If I don't know anything about Y. then the variance of x is a) .55 b) .14 c) 6.0 d) 6.55 18. The covariance between X and Y is a) 0.0 b).09 c).l9 d) .29 19. The correlation between X and Y is a) 0.0 b) .29 c) .47 d) .54 20. If all the X values in the table above were increased by 8. then the answer to question 18 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 61 21. [fall the X values in the table above were increased by 8. then the answer to question 19 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 22. [fall the Xvalues and all the Yvalues in the table above were increased by 8. then the answer to question 18 would be a) unchanged b) increased by S c) multiplied by 8 d) multiplied by 64 18. The covariance between X and Y is a) 0.0 b) .09 c) . 19 d) .29 19. The correlation between X and Y is a) 0.0 b) .29 c) .47 d) .54 20. If all the X values in the table above were increased by 8, then the answer to question 18 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 21. If all the X values in the table above were increased by 8, then the answer to question 19 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 22. If all the X values and all the Y values in the table above were increased by 8, then the answer to question 18 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 23. If all the X values and all the Y values in the table above were increased by 8, then the answer to question 19 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 24. If all the X values in the table above were multiplied by 8, then the answer to question 18 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 25. If all the X values in the table above were multiplied by 8, then the answer to question 19 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 26. If all the X values and all the Y values in the table above were multiplied by 8, then the answer to question 18 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 27. If all the X values and all the Y values in the table above were multiplied by 8, then the answer to question 19 would be a) unchanged b) increased by 8 c) multiplied by 8 d) multiplied by 64 28. The distribution of X when Y is known is called the distribution of X, and is written as . These blanks are best filled with a) conditional, p(X) b) conditional, p(X [Y) c) marginal, p(X) d) marginal, p(X [Y) A 29. The distribution of X when Y is not known is called the distribution of X, and is written as These blanks are best filled with a) conditional, p(X) b) conditional, p(X [Y) c) marginal, p(X) d) marginal, p(X [Y) The next 5 questions refer to the following information. You have estimated the equation wage = alphahat + betahat*experience to predict a person's wage using years of experience as an explanatory variable. Your results are that alphahat is 5.0 with standard error 0.8, betahat is 1.2 with standard error 0.1, and the estimated covariance between alphahat and betahat is -0.005. What this means is that 5.0 is a realization of a random variable with unknown mean and standard error 1.0, and 1.2 is a realization of another random variable which has unknown mean and standard error 0.01. 30. The estimated variance of your forecast of the wage of a person with no experience is a) 0.64 b) 0.8 c) 0.81 d) none of these 31. The estimated variance of your forecast of the wage of a person with one year of experience is a) 0.01 b) 0.64 c) 0.65 d) none of these 32. The estimated variance of your forecast of the wage of a person with two years of experience is a) 0.64 b) 0.65 c) 0.66 d) 0.67 33. The estimate of the increase in wage enjoyed by a person with three additional years of experience is a) 3.6 b) 8.6 c) 15 d) none of these 34. The estimated variance of the estimate of the increase in wage enjoyed by a person with three additional years of experience is a) 0.01 b) 0.03 c) 0.09 d) none of thesevariable with unknown mean and standard error 1.0, and 1.2 is a realization of another random variable which has unknown mean and standard error 0.01. 30. The estimated variance of your forecast of the wage of a person with no experience is a) 0.64 b) 0.8 c) 0.81 d) none of these 31. The estimated variance of your forecast of the wage of a person with one year of experience is a) 0.01 b) 0.64 c) 0.65 d) none of these 32. The estimated variance of your forecast of the wage of a person with two years of experience is a) 0.64 b) 0.65 c) 0.66 d) 0.67 33. The estimate of the increase in wage enjoyed by a person with three additional years of experience is a) 3.6 b) 8.6 c) 15 d) none of these 34. The estimated variance of the estimate of the increase in wage enjoyed by a person with three additional years of experience is a) 0.01 b) 0.03 c) 0.09 d) none of these The next 9 questions refer to the following information. The percentage returns from stocks A, B, and C are random variables with means 0.05, 0.08, and 0.12 respectively, and variances 0.04, 0.09, and 0.16, respectively. The covariance between A and B returns is minus 0.01; the return from stock C is independent of the other two. A GIC is available with a guaranteed return of 0.03. 35. If you buy a thousand dollars each of A and B, your expected percentage return for this portfolio is a) 0.05 b) 0.065 c) 0.08 d) none of these 36. If you buy a thousand dollars each of A and B, the variance of your percentage return for this portfolio is a) 0.1 1 b) 0.12 c) 0.13 d) none of these UI 37. If you buy a thousand dollars of A and two thousand dollars of B, your expected percentage return for this portfolio is a) 0.05 b) 0.07 c) 0.08 d) none of these 38. If you buy a thousand dollars of A and two thousand dollars of B, the variance of your percentage return for this portfolio is a) 0.04 b) 0.044 c) 0.73 d) none of these 39. If you were to supplement either of the above portfolios with some of stock C your expected return should go and if you were to supplement with some GIC your expected return should go . The best ways to fill these blanks are a) up, up b) up, down c) down, up d) down, down 40. If you were to supplement either of the above portfolios with some GIC the variance of your return should a) increase b) decrease c) remain unchanged d) can't tell what will happen 41. If you were to supplement either of the above portfolios with some of stock C, the variance of your return should a) increase b) decrease remain unchanged d) can't tell what will happen 42. Suppose you bought a thousand dollars of each of A, B, C and GIC. The expected return of this portfolio is a) .0625 b) .07 c) .087 d) none of these 43. Suppose you bought a thousand dollars of each of A, B, C and GIC. The variance of the return of this portfolio is a) .017 b) .068 c) .075 d) .27 44. Suppose we have a sample of size 100 from a random variable x with mean 3 and variance 4. The standard deviation of xbar, the average of our sample values, is a) 0.04 b) 0.2 c) 2 d) 4",
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"title": "Entrepreneurship",
"isbn": "1119563097, 9781119563099",
"edition": "5th Edition",
"authors": "Andrew Zacharakis, William D Bygrave",
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"question_posted": "2024-06-13 14:13:11",
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