Download JNTUA MBA R17 2019 Jan 1st Sem 14E00105 Statistics for Managers Question Paper

Download JNTU Anantapur (Jawaharlal Nehru Technological University Anantapuramu) MBA R17 2019 January First Semester (1st Semester) Regular & Supplementary Examinations 14E00105 Statistics for Managers Question Paper.

Code: 14E00105

MBA I Semester Supplementary Examinations December/January 2018/19
BUSINESS STATISTICS
(For students admitted in 2014 (LC), 2015 & 2016 only)

Time: 3 hours Max. Marks: 60

SECTION ? A
(Answer the following: (05 X 10 = 50 Marks)

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1 Enumerate the methods of measuring dispersion and state the characteristics of a good measure of
dispersion.
OR
2 The coefficient of variation of wages of male workers and female workers are 55% and 70%
respectively, while the standard deviations are 22.0 and 15.4 respectively. Calculate the overall
average wages of all workers given that 80% of the workers are male.

3 State the properties of Karl Pearson?s coefficient of correlation and explain how would you internet
the value of r with suitable example.
OR
4 Find the coefficient of correlation by Karl Pearson?s method from the following table.
X 6 2 10 4 8
Y 9 11 ? 8 7
Arithmetic means of X and Y are 6 and 8 respectively.

5 State the important characteristics and properties of binomial distribution. Under what conditions
can a binomial distribution be applied?
OR
6 The following table shows the distribution of number of faulty units produced in a single shift in a
factory. The data is for 400 shifts.
No. of faults 0 1 2 3 4
No. of shifts 138 161 69 27 5
Fit a Poisson distribution to the data.

7 In a large city A, 20% of the random sample of 1000 school children had defective eye sight. In
another large city B, 15% of a random sample of 2000 children had the same defect. Is this
difference between two proportions significant? Obtain 95% confidence limits for the difference in
the population proportions.
OR
8 Two random samples were drawn from two normal population and their values are:
A 66 67 75 76 82 84 88 90 92
B 64 66 74 78 82 85 87 92 93 95 97
Test whether the two population have the same variance at 5% level of significance.
(F = 4.30 at 5% level for v
1
= 10 and v
2
= 8)
Contd. in page 2






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Code: 14E00105

MBA I Semester Supplementary Examinations December/January 2018/19
BUSINESS STATISTICS
(For students admitted in 2014 (LC), 2015 & 2016 only)

Time: 3 hours Max. Marks: 60

SECTION ? A
(Answer the following: (05 X 10 = 50 Marks)

*****
1 Enumerate the methods of measuring dispersion and state the characteristics of a good measure of
dispersion.
OR
2 The coefficient of variation of wages of male workers and female workers are 55% and 70%
respectively, while the standard deviations are 22.0 and 15.4 respectively. Calculate the overall
average wages of all workers given that 80% of the workers are male.

3 State the properties of Karl Pearson?s coefficient of correlation and explain how would you internet
the value of r with suitable example.
OR
4 Find the coefficient of correlation by Karl Pearson?s method from the following table.
X 6 2 10 4 8
Y 9 11 ? 8 7
Arithmetic means of X and Y are 6 and 8 respectively.

5 State the important characteristics and properties of binomial distribution. Under what conditions
can a binomial distribution be applied?
OR
6 The following table shows the distribution of number of faulty units produced in a single shift in a
factory. The data is for 400 shifts.
No. of faults 0 1 2 3 4
No. of shifts 138 161 69 27 5
Fit a Poisson distribution to the data.

7 In a large city A, 20% of the random sample of 1000 school children had defective eye sight. In
another large city B, 15% of a random sample of 2000 children had the same defect. Is this
difference between two proportions significant? Obtain 95% confidence limits for the difference in
the population proportions.
OR
8 Two random samples were drawn from two normal population and their values are:
A 66 67 75 76 82 84 88 90 92
B 64 66 74 78 82 85 87 92 93 95 97
Test whether the two population have the same variance at 5% level of significance.
(F = 4.30 at 5% level for v
1
= 10 and v
2
= 8)
Contd. in page 2






Page 1 of 2
Code: 14E00105

9 The number of car accidents in a city was found as 20, 17, 12, 6, 7, 15, 8, 5, 16 and 14 per month.
Use Chi-square test to check whether these frequencies are in agreement with the belief that
occurrence of accidents was the same during the 10 month period. Test at 5% level of significance.
OR
10 In a survey of 200 girls of which 40% were intelligent, 30% had uneducated fathers, while 20% of
the unintelligent girls had educated fathers. Do these figures support the hypothesis that educated
fathers have intelligent girls? Test at 5% level of significance. (Table value of = 3.84)

SECTION ? B
(Compulsory question, 01 X 10 = 10 Marks)
11 Case Study:
In a certain factory production can be accomplished by four different workers on 5 different types
of machines. A sample study, in context of a two-way design without repeated values, is being
made with two-fold objectives of examining whether the four workers differ from with respect to
mean productivity and whether the mean productivity is the same for the 5 different machines. The
researcher involved in this study reports while analyzing the data as under.
(i) Sum of squares for variance between machines = 35.2
(ii) Sum of squares for variance between work man = 53.8
(iii) Sum of square for total variance = 174.2
Set up ANOVA table for the given information and draw the inference about variances at 5% level
of significance (Table value F = 2.53)

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This post was last modified on 03 January 2020