Loyola College B.Com April 2009 Advanced Statistical Methods Question Paper PDF Download

       LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

YB 09

B.Com. DEGREE EXAMINATION – COMMERCE

THIRD SEMESTER – April 2009

ST 3202 / 3200 – ADVANCED STATISTICAL METHODS

 

 

 

Date & Time: 27/04/2009 / 9:00 – 12:00  Dept. No.                                                  Max. : 100 Marks

PART-A

Answer all the questions                                                                               ( 10 x 2 = 20)

1) Explain the difference between an attribute and a variable with examples.

2) Name the methods used to study the association of attributes.

3) A bag contains 8 white and 4 red balls. Five balls are drawn at random. What is the

probability that 2 of them are red and 3 are white?

4) Define probability of an event.

5) For a binomial distribution mean is 20 and variance is 16. Find n, p.

6) What is the standard error of the sample mean and the sample proportion?

7) What is significance level?

8) What are the control limits for a c- chart?

9) Write the 95% confidence interval for the sample mean when n is large.

10) State any two uses of chi-square distribution.

PART-B 

Answer any 5 questions                                                                         (  5 x 8 = 40 )

 

11) Find the association between literacy and unemployment from the following data.

            Total adults                             10,000

Literates                                  1290

Unemployed                           1390

Literate unemployed               820

Comment on the results.

12) One bag contains 4 white, 2 black and 3 blue balls. Another contains 3 white 5 black and 2 blue

balls. One ball is drawn from each bag.

Find the probability that   a) both are white

  1. b) one is white and one is black
  2. c) the sample should not have any blue balls.

13) A certain automatic machine produces one defective screw out of every 100 screws.

If the screws are packed in boxes of 300, what percentage of these boxes

would you expect to have

  1. i) no defective screw?
  2. ii) at least one defective screw

iii) not more than 2 defectives.

14) Explain the method of analysis of variance for one way classification.

15) Explain the theory behind control charts.

16) From the following data find out whether there is any relationship between sex and                preference of color for 200 samples.

Color                           males                           females

Red                             10                                40

White                          70                                30

Green                          30                                20

17) 15,000 students appeared for an examination. The mean marks obtained are 49 and the standard

deviation is 6. Assuming normal distribution, what proportion of students scored more

than 55 marks? If grade A is given to those who scored above 70, what proportion of students

will receive grade A?

18) Ten specimens of copper wires drawn from two large lots have the following breaking strengths

(in kgs) 578, 572, 570, 568, 512, 578, 570, 575, 569, 548.

Test whether the mean breaking strength of the lot may be taken to be 578 kg.

PART-C

Answer any 2 questions                                                                         ( 2 x 20 = 40 )

19) a) A survey of male children in 128 families each having 5 children gave the following data.

 No of male children 0    1      2      3       4      5
No of families 9   17    26    39    22     12

Fit a binomial distribution to the data assuming p is not known.

 

  1. b) In a bolt factory machines A, B, and C. produce respectively 25%, 35%, and 40%. Of the total of

their output 5, 4 and 2 percent are defective bolts. A bolt is drawn at random from the product

and is found to be defective. What is the probability that  it was manufactured by machines

A, B and C.?                                                                                                                   ( 10 + 10 )

20) a) You are working as a purchase manager for a company. The following

information has been supplied to two manufactures of electric bulbs.

Company A Company B
Mean life(hours) 1275 1248
SD 82 93
Sample size 100 100

Test whether there is any significant difference between the mean of  two products.

  1. b) Before an increase in excise duty on tea 400 people out of 500 were found to be

tea drinkers. After an increase in the duty 400 persons were known to be tea drinkers

in another independent sample of 600 people. Test whether there is any

significant difference between the two cases?                                           ( 10 +10 )

 

21) a)100 children took three examinations. 40 passed the first, 39 passed the second

and 48 passed the third. 19 passed all three 9 passed first two but failed in the third,

19 failed in the first two and passed the third. Find how many children passed

at least two exams.

  1. b) For a random sample of 10 persons fed on diet A, the increase in weights are

10, 6, 16, 17, 13, 12, 8, 14, 15, 9.For another random sample of 12 persons fed on

diet B the increase in weights are 7, 13, 22, 15, 12, 14, 18, 8, 21, 23, 10, 17.

Test whether there is any significant difference between the diets.           ( 10 + 10 )

22) a) The following data show the values of sample mean X and range R for 10 samples

of size 8 each. Calculate the control limits for mean and range

Sample no 1 2 3 4 5 6 7 8 9 10
mean 11.2 11.8 10.8 11.6 11 9.6 10.4 9.6 10.6 10
range 7 4 8 5 7 4 8 4 7 9

Determine whether the process is in control.

 

  1. b) A tea company appoints 4 salesmen A, B, C, and D and observes their sales in

three seasons summer, winter, monsoon. The figures are given below.

A B C D
summer 36 36 21 35
winter 28 29 31 32
monsoon 26 28 29 29

Test whether there is significant difference

  1.  i) among salesmen
  2. ii) among seasons.                                                                  ( 10 + 10 )

 

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