Download JNTUA MBA R17 2019 Jan 1st Sem 17E00105 Statistics for Managers Question Paper

Download JNTU Anantapur (Jawaharlal Nehru Technological University Anantapuramu) MBA R17 2019 January First Semester (1st Semester) Regular & Supplementary Examinations 17E00105 Statistics for Managers Question Paper.

Code: 17E00105

MBA & MBA (Finance) I Semester Regular & Supplementary Examinations December/January 2018/19
STATISTICS FOR MANAGERS
(For students admitted in 2017 & 2018 only)

Time: 3 hours Max. Marks: 60

SECTION ? A
(Answer the following: (05 X 10 = 50 Marks)
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1 Discuss the application of dispersion measures for business decision making.
OR
2 A security analyst studied hundred companies and obtained the following data for the year 1997:
Dividend declared (%) 0-8 8-16 16-24 24-32 32-40
Number of companies 15 30 40 10 5
Calculate the standard deviation of the dividend declared.

3 Obtain the lines of regression from the following data:
16 12 10 14 18
19 11 15 18 17

OR
4 Define regression. Explain its properties and applications.

5 What are the properties of Poisson distribution?
OR
6 Potassium blood levels in healthy humans are normally distributed with a mean of 17.0 mg/100
ml, and standard deviation of 1.0 mg/100 ml. Elevated levels of potassium indicate an electrolyte
balance problem, caused by Addison?s disease. However, a test for potassium level should not
cause too many ?false positives?. What level of potassium should we use so that only 2.5% of
healthy individuals are classified as ?abnormally high??

7 Explain the steps involved in testing the hypothesis. What are the possible errors that may occur
while testing the hypothesis?
OR
8 Explain the different types of ANOVA. What are the steps involved in carrying out ANOVA?

9 How chi-square is calculated? Explain any two of its applications.
OR
10 Explain the different types of non parametric tests.

SECTION ? B
(Compulsory question, 01 X 10 = 10 Marks)
11 Case Study:
The following are the details of sales effected by three sales persons in three door-to-door
campaigns.
Sales person Sales in door ? to ? door campaign
A 8 9 5 10
B 7 6 6 9
C 6 6 7 5
Construct an ANOVA table and find out whether there is any significant difference in the
performance of the sales persons.
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