CSS Statistics Past Paper 2023

Instructions specific to this paper

• Attempt ONLY FOUR questions from PART-II by selecting TWO questions from EACH SECTION.
• Use of Calculator is allowed.
• Use of statistical table is allowed.
• Regression (ii) Regresand (iii) Regressor (iv) Regressor co-efficient
• combinations and (ii) permutations of 3 letters chosen from the (06)

Questions

1. Q. 25 marks

   (a) Calculate the Q1, median and Q3 from the following distribution of weight of containers in Kg, (10) and comment on the symmetry of distribution. Weight (Kg) 18- 26 27- 35 36- 44 45- 53 54- 62 63- 71 72- 80 # of Containers 13 20 39 40 25 6 12 (b) What is frequency distribution? Discuss briefly the steps involve in construction of frequency (05) distribution. (c) The first three moments of a distribution about the value 2 of the variable are 1, 16 and -40. (05) (20) Show that the mean is 3, the variance 15 and m3 is -86. Also show that the first three moments about x=0 are 3, 24 and 76.

2. Q. 320 marks

   (a) From the following data, determine the linear regression equations of X 1 on X 3 and of (10) X 2 on X 3 . X1 07 12 14 17 20 X2 04 07 08 09 12 X3 01 02 04 05 08 Find the deviations of observed values of X 1 from the regression, i.e., X 1.3 . Repeat the same of X 2 , i.e., obtain X 2.3 . Determine the simple correlation co-efficient between the two sets of deviations X 1.3 and X 2.3 . (b) What is meant by: (05) (i) Regression (ii) Regresand (iii) Regressor (iv) Regressor co-efficient (c) Describe the Properties of the correlation co-efficient? (05)

3. Q. 48 marks

   (a) Derive the Poisson distribution as the limiting form of the binomial distribution, stating clearly the assumptions you make. (b) Enumerate all the possible (i) combinations and (ii) permutations of 3 letters chosen from the (06) four letters A, B, C, and D. (c) A box contains 4 bad and 6 good tubes. Two tubes are drawn together at random. One of them (06) (20) is tested and found to be good. What is the probability that other one is good? STATISTICS

4. Q. 512 marks

   (a) Draw all possible random sample of size 𝑛1 =2 with replacement from a finite population consisting of 4, 6, 8. Similarly draw all possible random samples 𝑛2 =2 with replacement from another finite population consisting of 1, 2, 3. (i) Find the possible difference between the sample means of the two populations. (ii) Construct the sampling distributions of 𝑥̅1 − 𝑥̅2 and compute its mean and variance. 𝜎2 𝜎2 (iii) Verify that µ𝑥̅1−𝑥� = 𝜇1 − 𝜇2 and 𝜎𝑥̅21−𝑥� = 𝑛1 +𝑛2 2 2 1 2 (b) Explain sampling and non-sampling errors. What method would you suggest to control each type (08) (20) of error?

5. Q. 612 marks

   (a) The two samples A and B detailed below, were taken from normal populations of standard deviation 0.8. Test whether the difference of means is significant A 10.5, 11.6, 12.7, 12.9, 13.5, 13.6, 14.8 B 11.3, 12.4, 12.4, 13.9, 14.2, 14.7, 14.9, 15.6 (b) Explain with examples the difference between: (08) (20) (i) Null and Alternative hypothesis (ii) Simple and composite hypothesis (iii) Type I-error and Type II-error (iv) Critical and non-critical region.

6. Q. 712 marks

   (a) The following data represent the result of 3 questions obtained by 3 students in three subjects: Subjects Students English Mathematics Statistics 1 13 23 22 18 20 23 15 16 20 2 21 20 20 16 14 15 24 24 22 3 18 17 19 15 13 21 12 16 18 Perform an analysis of variance upon these data and test the hypothesis that: (i) The subjects are of equal difficulty. (ii) The students are of equal ability, and (iii) The students and subjects do not interact. (b) Discuss why using multiple two-sample t-tests is not an appropriate alternative of analysis of (08) (20) variance?

7. Q. 810 marks

   (a) Given the population 1, 1, 1, 3, 4, 5, 6, 6, 6, and 7. Find (i) The probability that a random sample of size 36 selected with replacement will yield sample mean between 3.26 and 4.74 (ii) The mean and standard deviation for the sampling distribution of means for a sample size of 4 selected at random without replacement. Between what values would you expect at least ¾ of the sample mean to fall? (b) Explain sampling and non-sampling errors. What methods would you suggest to control each (05) type of error? (c) Explain with examples the following properties of a point estimator: (05) (20) (i) Unbiasedness, (ii) Consistency, and (iii) Efficiency.

Standard FPSC instructions

Printed on this and every CSS paper.

• Part-II is to be attempted on the separate Answer Book.
• All the parts (if any) of each question must be attempted at one place instead of at different places.
• Write Q. No. in the Answer Book in accordance with Q. No. in the question paper.
• No page/space be left blank between the answers. All the blank pages of the Answer Book must be crossed.
• Extra attempt of any question or any part of the attempted question will not be considered.