6. | Answer any five of the following choose the correct alternative stating proper reason: | 2x5=10 | |
| (a) | Probability of getting 2 heads in a single throw of 4 perfect coins is (i) | | (ii) | | (iii) | | (iv) | None of these. | | | (0) |
| (b) | P {4 < x < 6} of a Poisson variate with mean parameter 1 (given e−1 = 0.3678) is (i) | 0.001, | (ii) | 0.002, | (iii) | 0.0031, | (iv) | 0.0189. | | | (0) |
| (c) | Probability of getting 8 points by throwing 2 unbiased dice is | | (0) |
| (d) | Given P {0 ≤ z ≤ 0.45} = 0.1736 and P {0 ≤ z ≤ 1.92} = 0.4726 then P {−0.45 ≤ z ≤ 1.92} is (i) | 0.6462, | (ii) | 0.2990, | (iii) | 0.9452, | (iv) | 0.3472. | | | (0) |
| (e) | For the two regression lines 9x + 3y = 46 and 3x + 12y = 19, the correlation coefficient is (i) | | (ii) | − | | (iii) | | (iv) | None of these. | | | (0) |
| (f) | In order to test whether a coin is fair or not it is tossed 5 times. The null hypothesis of fairness is rejected if and only if the number of heads is 0 or 5. The probability of type −I error of the test is (i) | ( | | )3 | (ii) | ( | | )4 | (iii) | ( | | )5 | (iv) | | None of these | | | (0) |
| (g) | Probability of getting a zero value of a binomial distribution with mean 4 and variance 3 is (i) | ( | | )16 | (ii) | ( | | )16 | (iii) | ( | | )16 | (iv) | | None of these | | | (0) |
| (h) | The p.d.f. of a continuous random variate X is given by f(x) | =kx2 (1 − x), | 0 < x < 1 , elsewhere | = 0 | . Then the constant k is (i) | 9, | (ii) | 10, | (iii) | 11, | (iv) | None of the these. | | | (0) |
| (i) | A random sample of size 25 has been drawn from a normal population with variance 9. If the sample mean is 5 the 95% confidence interval for the population mean is (i) | (3.284, 6.716), | (ii) | (3.824, 6.176), | (iii) | (3.482, 6.617), | (iv) | None of these | | | (0) |
7. | (a) | If P(A) = ¼ P(B) = 2/5 and P(A ∪ B) ½ find (i) P(A ∩ B) and (ii) P(A ∪ B), where A, B are mutually exclusive. | 5 | (0) |
| (b) | A class consists of 50 students out of which the number of girl students is 10, In the class 2 girls and 5 boys are rank holders in the previous examination. If a student is selected at random from the class and is found to be a rank holder, what is the probability that the student selected is a girl. | 5 | (0) |
8. | (a) | Fit a Poisson distribution to the following data: No. of mistakes per page No. of pages | : : | 0 109 | 1 65 | 2 22 | 3 3 | 4 1 | | 5 | (0) |
| (b) | Find the mean and s.d. of a normal distribution where 8% of the items are over 64 and 31% are under 45. Given : P{0 < z < 0.495 = 0.19} and P{0 < z < 1.405} = 0.42, where z is a N(0, 1) variate. | 5 | (0) |
9. | (a) | A group of 5 patients treated with medicine A, weight 42, 39, 48, 60, 41 kg. while a second group of 7 patients from the same hospital treated with medicine B, weight 38, 42, 56, 64, 68, 69, 62 kg. Do you agree with the claim that medicines increase the weight equally? [Value of t at 5% level of significance of 10 d.f. is 1.812]. | 5 | (0) |
| (b) | A die was thrown 90 times with the following results: Face Frequency | : : | 1 10 | 2 12 | 3 16 | 4 14 | 5 18 | 6 20 | Total 90 | Are these data consistent with the hypothesis that the die is unbiased? [Given | X2 0.05 | = 11.07 at 5 d.f.; = 12.59 at 6 d.f.] | | 5 | (0) |
10. | (a) | A confectioner sells confectionery items. Past data of demand per week (in ‘00 kg) with frequency is given below: Demand per week Frequency | : : | 0 2 | 5 11 | 10 8 | 15 21 | 20 5 | 25 3 | Using the following sequence of random numbers, simulate the demand for the next 10 weeks. Also find the average demand per week: 35 35 | 52 83 | 90 94 | 13 56 | 23 67 | 73 66 | 34 60 | 57 | | 5 | (0) |
| (b) | The following are the marks obtained by 7 students in two subjects. Compute the rank correlation coefficient. Marks in Mathematics Marks in Statistics | : : | 21 59 | 62 89 | 39 28 | 48 68 | 60 80 | 78 92 | 25 81 | | 5 | (0) |
11. | (a) | A bag contains defective articles the exact number of which is unknown. A sample of 100 from the bag gives 8 defective articles. Find the possible limits for the proportion of defective articles in that bag. | 5 | (0) |
| (b) | An educational entrepreneur in order to run one out of two software courses CUR and FUT, has obtained following estimates from the software experts: (i) | Probability of getting a return of Rs. 5 crores is 0.6 for FUT and 0.2 for CUR; | (ii) | Probability of getting a return of Rs. 40 lakhs is 0.4 for FUT and 0.8 for CUR; | (iii) | FUT will cost the entrepreneur Rs. 1 crore and CUR only Rs. 30 lakhs. Using EMV, obtain the optimum strategy. | | 5 | (0) |