Osmania University (OU) 2009-1st Year M.B.A -COMMON FACULTY OF MANAGEMENT - Question Paper

Time : three Hours Max. Marks:100

ans all ques..

Part A – (Marks x two = 20)

1.Write short notes on the following:
(a)Ordinal scale
(b)Statistical Independence
(c)Binomial distribution
(d)Standard normal curve
(e)Sampling distribution
(f)'t' distribution
(g)Quota sampling
(h)Significance level
(i)Type I & II fault
(j)Components of time series analysis

2.(a)Define probablilty and explain its salient features.
OR
(b)From a computer tally based on employee records, the personnel manager of a large manufacturing firm obtains that 15 per cent of the firm's employees are supervisors and 25 percent of the firm's employees are college graduates. He also discovers that five percent of the firm's employees are both supervisors and college graduates. Suppose that an employee is opted at random from the firm's personnel records, obtain the

(i)Probability of selecting a person who is both a college graduate and a supervisor, and
(ii)Probability of selecting a person who is neither a supervisor nor a college graduate

3.(a)State and discuss the properties of Poisson distribution.
OR
(b)The distribution of typing mistakes committed by a typist is provided beneath. Assuming a Poisson Model, obtain the expected frequencies. (Fit Poisson distribution)

Mistakes per page: 0 1 2 3 4 5
No. of pages : 132 146 79 37 5 1

4.(a)What is null hypothesis? discuss the procedure for testing a statistical hypothesis.
OR
(b)The sales data of an item in 6 shops before and after a special promotional campaign are as follows:

Shops A B C D E F
Before Campaign 53 28 31 48 50 42
After Campaign 58 29 30 55 56 45
Can the campaign be judged to a success? Test at 5% level of significance.

5.(a)What is Analysis of Variance? elaborate its assumptions? discuss Two-Way classification of date in Analysis of Variance.
OR
(b)Calculate the value of Chi-square for the subsequent data and interpret the result:

A B C
Observed frequency : 25 29 27
Expected frequency : 23 28 29

6.(a)What is regression analysis? How does it differ from correlation analysis? discuss its business applications.
OR
(b)Fit a linear pattern to the subsequent data using lowest squares principles and estimate the expected sales quantity for the year 2009.
Year 2000 2001 2002 2003 2004 2005 2006 2007
Sales 22.5 27.8 26.8 25.8 29.2 25.6 37.5 46

Earning:   Approval pending.