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Statistics 2021 — CSS Past Paper

STATISTICS

TIME ALLOWED: THREE HOURS
PART-I(MCQS): MAXIMUM 30 MINUTES
PART-I (MCQS) MAXIMUM MARKS = 20
PART-II MAXIMUM MARKS = 80

NOTE:

• (i) Part-II is to be attempted on the separate Answer Book.
• (ii) Attempt ONLY FOUR questions from PART-II, by selecting TWO questions from EACH SECTION. ALL questions carry EQUAL marks.
• (iii) All the parts (if any) of each Question must be attempted at one place instead of at different places.
• (iv) Write Q. No. in the Answer Book in accordance with Q. No. in the Q.Paper.
• (v) No Page/Space be left blank between the answers. All the blank pages of Answer Book must be crossed.
• (vi) Extra attempt of any question or any part of the question will not be considered.

PART-II

SECTION – A

Q. No. 2.

(a) Describe the measures of central tendency What is the purpose served by it? What are its desirable qualities? (08)

(b) A man gets rise of 10% in salary at the end of his lira rear of service and further rises of 20% and 25% respectively at the end of second and third seat. The rise to each year being calculated on his salary at the beginning of the year. What annual percentage inerea.es in this equivalent?

The following has been obtained from two different frequency distributions of  Weights (lb) having 125 and 200 observations after making the substitution. (06

(c) (06)

X =16+5u, Y= 20+2o. (i)  fit = —46, Efi,2= 3., E -_242. EA’ =1962. (ii) fv = 21. Eft’ =1265. zfri= -627. Eft,’ =14169.

Find

(i) Which of the distributions is more consistent?

(ii) Which of the distribution is negatively skewed?

(iii) Which of the distribution is in mesokurtic?

Q. No. 3.

(a) Describe the linear regression model. Explain the assumptions underlying the linear regression model. (08)

(b) An instructor of mathematic, wished to determine the relationship of grades on a final examination to grades on two quizzes given during the semester. Calling X1, X2; and X3 the grades of a student on the rust quiz, second quiz and final examination respectively. He made the following computations for a total of 120 students. (06)

X1 = 6.8, S, =1.0, ri, = 0.60, = 7.0, = 0.8, r„ = 0.70, = 74, S, = 9.0. rh = 0.65.

(i) Find the least-squares regression equation of X, on X, and X:.

(ii) Estimate the final grades of two students who scored respectively (1) 9 and 7. (11)4 and 8. cm the two quizzes.

(iii) Compute R,.„2.

(c) Why non-parametric tests are important? Describe the run test in detail and give its advantages and disadvantages. (06)

Q. No. 4.

(a) Describe the random experiment and give its properties. Also discuss the mutually exclusive events with two real life examples. (08)

(b) An urn contains four balls which are known to be either (i) all white or (it) two chine and two black. A ball is drawn at random and is found to be white. What is the probability that all the balls are white? (06)

(c) Describe the hypergeometric distribution and give its properties. In real life under what situations we can use it? (06)

SECTION – B

Q. No. 5.

(a) Describe the probability and non-probability sampling p methods. Also differentiate between multiphase and multistage sampling. (08)

(b) A sample of sire n = 3 is selected by using Without replacement sampling from a population having N = 5 units whose values are 0, 3, 6, 9 and 12. (06)

(i) Find the sampling distribution of the sample mean (X).

(ii) Calculate the mean and standard deviation of 2, and verify that ,2f(N—n). /1.1.1A n N —1 c-/

(c) A population consists of 5 observations I, 2, 3, 4, 5. Draw all possible samples of sire 2 without replacement. Find the mean of the sampling distribution of the variances. Compare it with the variance of the population. (06)

Q. No. 6.

(a) Differentiate between simple and composite hypothesis. Also describe the importance of type-1 and type-11 errors. (08)

(b) In a poll of college students in a large state university, 300 of 400 students living in dormitories approved a certain course of action. whereas 200 of 300 students not living in dormitories approved it. Estimate the difference in proportions favouring the course and compare 95% confidence interval for it. (06)

(c) A manufacturer of house-dresses seat out advertising by mail. Ile sent samples of material to each of 2 groups of 1000 women. For one group, he enclosed a white return envelope and for the other group, a blue envelope. Ile received orders from 10% to 30% respectively. Do the data indicates that the colour of the envelope has on effect on the sales? Use 5% level of significance. (06)

Q. No. 7.

(a) Describe the point estimation. Also discuss the properties of good point estimator with two real life examples. (08)

(b) Describe the chi-square test for goodness-of-fit. Also discuss its procedure for analysis. (06)

(c) The following table shows the number of male and female births in 800 families having 4 children. (06)

 Number of male births 0 1 2 3 4 Families 32 178 290 236 64

Test whether the data are consistent with the hypothesis that the binomial law holds and that the chance of a male birth is equal to that of a female birth i.e. p = q =1 / 2.

Q. No. 8.

(a) Describe the importance of vital statistics with its uses and shortcomings. (08)

(b) From the following data, find the gross and act-reproduction rates by assuming sex-ratio at birth to be 105.2%. (06)

 Age group (Years) Female Population Registered births Survival among females out of 1000 15-19 8981 1835 634 20-24 5875 2616 602 25-29 3613 2563 568 30-34 3380 1062 530 35-39 3345 558 488 40-44 3248 37 444

(c) Describe the “Nation Income”, “Gross and Domestic Product” and “Saving and Wealth” in terms of country’s economy. (06)

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