6. | Answer any five of the following: Choose the correct alternative stating proper reasons/calculations. | 2x5 | |
| (a) | If P(A) = 0.3, P(B) = 0.4 and P(A/B) = 0.5 then probability that, of two events A and B, only A occurs is (i) | 0.3 | (ii) | 0.1 | (iii) | 0.05 | (iv) | 0.18 | | | (0) |
| (b) | For two independent events A and B, P(A) = 0.4, P(B) = 0.5. Then P(A ∪ B) is (i) | 0.9 | (ii) | 0.7 | (iii) | 0.2 | (iv) | 0.1. | | | (0) |
| (c) | If two unbiased dice are thrown once the probability that sum of the points on the upper most faces of the dice fallen is at least 11 is | | (0) |
| (d) | If pdf of a continuous r, v, X be f(x) = k (constant), 1 < x < 2. = 0, otherwise: then E(X) is | | (0) |
| (e) | For a binomial distribution with parameters n = 4 and p = ½, standard deviation is (i) | –1 | (ii) | √2 | (iii) | –√2 | (iv) | 1 | | | (0) |
| (f) | For a r, v, X following a Poisson distribution with parameter 4, P (X is atmost 1) is (i) | e–4 | (ii) | e4 | (iii) | 5e–4 | (iv) | 5e4 | | | (0) |
| (g) | If X is a standard normal variable with | 1 ∫ 0 | (2π)–½ ex2/2 dx = 0.34, then P (|X| < 1) is |
(i) | 0.16 | (ii) | 0.32 | (iii) | 0.34 | (iv) | 0.68 | | | (0) |
| (h) | If the two regression lines are 10y = 9x + 13 and 10x = 9y – 6 then mean (x, y) is (i) | (3, 4) | (ii) | (4, 3) | (iii) | (3, –6) | (iv) | (–6, 3) | | | (0) |
| (i) | A simple random sample of size 10 is drawn without replacement from a finite population of size 50. Variance of the population is 49. Then standard error of the sample mean is | | (0) |
| (j) | In order to test unbiasedness of a die it is tossed twice. The null hypothesis of unbiasedness is rejected if and only if the sum of the numbers on the uppermost faces of the die is 2 or 12. The probability of type 1 error of the test is | | (0) |
7. | (a) | The incidence of a certain disease in an industry is such that on an average, 20% of workers suffer from it. If 7 workers are selected at random, what is the probability that 5 or more have got the disease? Also obtain the mean and s.d. of the distribution. | 5 | (0) |
| (b) | A problem in statistics is given to Asoke, Amal and Abdul and their probabilities of solving it are 1/5, 2/5 and 3/5 respectively. If all of them try independently, find to probability that the problem will be solved. | 5 | (0) |
8. | (a) | Packets of a certain washing powder are filled with an automatic machine with an average weight of 6 kg and s.d. of 50 gm. If the weight of a packet is normally distributed then find the percentage of packets weighing above 6.1 kg. (Given | 2 ∫ 0 | [Φ (z)dz = 0.4772 where z is a N (0, 1) variable] | | 5 | (0) |
| (b) | A company serveyed employees to see whether they prefer a large increase in retirement benefits or a smaller increase in monthly salary. From a group of 1,000 male employees, 850 supported the retirement benefits. Of 500 female employees, 400 supported the retirement benefit. Test the null hypothesis that the proportions of man and women supporting retirement benefits are equal. [Given | d.f | = | 1 | 2 | 3 | | X0.05 | = | 3.84 | 5.99 | 2.81] | | 5 | (0) |
9. | (a) | Find the mean and standard deviation of a normal distribution of marks of students appearing in an examination if 16% of the students got marks below 52 and 16% of the students got marks below 52 and 16% of the students got marks above 62. | 5 | (0) |
| (b) | From the following data determine the regression lines of x on y and of y on x, and estimate the value of x when y = 75 and the value of y when x = 35. Variable Arithmetic mean Standard deviation | x 30 2 | y 90 3 |
Correlation co–efficient between x and y is 0.4. | 5 | (0) |
10. | (a) | A random sample of size 10 is drawn from a normal population with mean μ and variation σ2 = 4 and the sample observations are 62, 63, 64, 65, 65, 66, 66, 68, 70, 71. Test whether population mean μ = 67 at 5% level of significance against alternative μ ≠ 67. Determine 95% confidence interval of μ. [Value of τ for α = 0.025 is 1.96 where τ is N (0, 1)] | 5 | (0) |
| (b) | A die is thrown 120 times with the following results: Face: Frequency | 1 20 | 2 18 | 3 22 | 4 30 | 5 16 | 6 14 | Total 120 |
Test the fairness of the die in 5% level of significance. Given: Upper 5% points of chi–square distribution with 5 and 6 degrees of freedoms are 11.07 and 12.59 respectively. | 5 | (0) |
11. | (a) | Write short note on any one: (i) Rank correlation, (ii) Frequency chi–square test. | 5 | (0) |
| (b) | A bakery keeps stock of a popular brand of cake. Previous experience shows the daily demand pattern for the items with associated probabilities as given below: Daily demand (nos): Probability: | 0 0.01 | 10 0.21 | 20 0.10 | 30 0.51 | 40 0.14 | 50 0.05 |
Using the following sequence of random numbers to simulate the demand for next 12 days: Random numbers: | 49 76 | 19 65 | 89 39 | 73 25 | 05 31 | 12 68 |
Also estimate the daily average demand for the cakes on the basis of simulated data and find out the stock situation at the end of 12th day, if the owner of the bakery decides to make 30 cakes every day. | 5 | (0) |