6. | Attempt any five of the following choose the correct alternative stating proper reason: | 2x5=10 | |
| (a) | Two dice are thrown simultaneously and the point on the dice are multiplied together. Then the probability that the product is 4, is | | (0) |
| (b) | Let the events A and B be independent with P(A) = 0.5 and P(B) = 0.8. Then the probability that neither of the events occurs is (i) | 0.1 | (ii) | 0.2 | (iii) | 0.3 | (iv) | 0.4 | | | (0) |
| (c) | Let A and B are two events such that P(A) = 0.4, P(A U B) = 0.7 and P(B) = p. For what choice of p are A and B independent? | | (0) |
| (d) | The mathematical expectation of the number of points if a balanced die is thrown is | | (0) |
| (e) | If Z is N(0, 1) variate then P(−0.75 ≤ Z ≤ 2.04) is [given | z ∫ 0 | | e√1/z t2 | dt | = 0.2734 and 0.4793 for z = 0.75 and 2.04 respectively] (i) | 0.2509 | (ii) | 0.2059 | (iii) | 0.7527 | (iv) | 0.72257 | | | (0) |
| (f) | For a Poisson distribution p(x = 1) = p(x = 2), then p(x = 1 or 2) is (i) | 2e−2 | (ii) | 3e−2 | (iii) | 4e−2 | (iv) | 5e−2 | | | (0) |
| (g) | The p.d.f. of a normal distribution is f(x) = − | | e−4x2, − ∞ < x < ∞. | Then its deviation is | | | (0) |
| (h) | For a simple random sample without replacement of size 16 drawn from a population of size 65 and variance 4 the standard error of sample mean is | | (0) |
| (i) | If the regression lines are perpendicular to each other, then the correlation coefficient between the variables. (i) | 0 | (ii) | 0.5 | (iii) | 1 | (iv) | none of these | | | (0) |
| (j) | If random variable X is uniformly distributed with probability density function f(x) = 1, 0 < x < 1, then V(X) is | | (0) |
7. | (a) | The odds in favour of one student passing an examination are 3 : 7. The odds against another student passing an examination are 3 : 5. What are the probabilities that (i) both will pass; (ii) both will fail? | 5 | (0) |
| (b) | The Wage distribution of workers in a factory is normal with mean Rs. 200 and standard deviation Rs. 25. If the wages of 40 workers be less than Rs. 175, find the number of workers whose income is less than Rs. 225. [Given | 1 ∫ 0 | | e−1/z t2 | dt = 0.34] | | 5 | (0) |
8. | (a) | For a binomial distribution, mean is 4 and variance is 2. Find the probability of getting (i) at least 2 successes and (ii) atmost 2 successes. | 5 | (0) |
| (b) | A sample of 100 arrivals of customers in a departmental store is according to the following distribution: Time between arrivals (in minutes) | | Frequency | 0.5 1.0 1.5 2.0 2.5 3.0 | | 12 21 36 19 7 5 |
Use the following random numbers to simulate for the next 10 arrivals. [Given: Random numbers: 25, 39, 65, 76, 12, 05, 73, 89, 19, 49] | 5 | (0) |
9. | (a) | (i) Find the sample size such that the probability of the sample mean differing from the population mean by not more than 1/10th of standard deviation is 0.95. [Given P(Z > 1.96) = 0.025 where Z is N(0, 1) variate] | (ii) Generate 2 random numbers from the ‘seed’ 7534. | | 5 | (0) |
| (b) | Two variables have the regression lines 3x + 2y = 26 and 6x + y = 31. Find the mean values, the correlation coefficient between x and y and the ratio of variances of the variables. | 5 | (0) |
10. | (a) | Marketing staff of an industrial unit has submitted the following pay−off table, giving profits in million rupees, concerning a certain proposal depending upon the rate of technological advance: Technological advance | Decision | | Accept | Reject | Much Little None | 2 5 −1 | 3 2 4 |
The probabilities are 0.2, 0.5 and 0.3 for much, little and none technological advance, respectively. What decision should be taken? | 5 | (0) |
| (b) | Consider the following table: | Poor eye−sight | Good eye−sight | No. of Males : | 200 | 350 | No. of Females : | 200 | 250 |
Can we conclude at 5% level of significance that sex has no bearing on the quality of eye−sight?[Given: values of X2at 5% level of significance are 3.84, 5.99, 7.81, 9.49 for d.f. = 1, 2, 3 and 4 respectively?] | 5 | (0) |
11. | (a) | A random sample of 100 articles taken from a batch of 2,696 articles contains 5 defective articles. Find95% confidence interval for the proportion of defective articles in whole batch. | 5 | (0) |
| (b) | There are two brands of car tyres A and B in the market. A sample of 100 tyres of brand A has an average life of 37,500 km with a standard deviation of 2,500 km. Another sample of 75 tyres of brand B has an average life of 39,000 km with a standard deviation of 3000 km. Can we conclude that brand B is better than brand A ? | 5 | (0) |