GM03
Business
Statistics
(For
CNM Cases)
Assignment - II
Assignment Code: 2016GM03A2
Last Date of Submission: 30th April 2016
Maximum Marks: 100
Attempt all the questions. All the questions are compulsory and
carry equal marks.
Section-A
1. Last
year television stations WXYZ’s share of the 11pm news audience was approximately equal to 25%. The
station’s management believes that the current audience
share is higher than last years 25% figure. In an attempt to substantiate this belief, the station surveyed 400 11pm
viewers and found that 146 watched WXYZ. Set up
the null and alternative hypothesis and test the same at 5% level of
significance. What is your conclusion?
2. A
retailer that sells home entertainment systems accumulated 10451 sales invoices
during the previous year. The
total of the sales amount on these invoices as claimed by the company is Rs.63,84,675. In order to
estimate the true total sales for last year, an independent auditor randomly selects 350 of the invoices and
determines the actual sales amounts by
contacting the purchasers. The mean and standard deviation of the 350 samples sales amounts are Rs. 532
and standard deviation 168. Find the point and interval
estimate given that a 95% confidence is required. Do you think that the sales invoice claimed by the company are correct?
3.
One of the questions on the
Business Week subscriber study was, “In the past 12 months when travelling for business, what type of airline ticket did
you purchase most often”. The data
obtained are shown in the following table.
|
Type of Flight
|
|
Type of Ticket
|
Domestic flights
|
International flights
|
First Class
|
29
|
22
|
Business / Executive class
|
95
|
121
|
Full fare economy /coach class
|
518
|
135
|
Based
on the above can it be concluded that type of ticket is dependent on the type
of flight taken. Use 5% level of
significance.
4. To
study the effect of temperature on yield in a chemical process, five batches
were produced at each of three
temperature levels. The results follow. Construct an analysis of variance table. Use a 5% level of
significance to test whether the temperature level has an effect on the mean yield of the process.
|
Yield
|
||||
Temperature
|
|
||||
50degC
|
34
|
24
|
36
|
39
|
32
|
60degC
|
30
|
31
|
34
|
23
|
27
|
70degC
|
23
|
28
|
28
|
30
|
31
|
SECTION-B
Case Study
A research project was undertaken to
determine if there is a relationship between the years of experience on the job
(A) and efficiency rating of employees (B). The objective of the study was to
predict the efficiency rating of the employee. The sample results are as
follows:
Years
of Job (A)
|
1
|
20
|
6
|
8
|
2
|
1
|
14
|
8
|
4
|
6
|
Efficiency
rating (B)
|
6
|
5
|
3
|
5
|
2
|
2
|
4
|
3
|
3
|
4
|
a) Which variable is the dependent variable?
b)
Find if there is correlation
between the two variables and test the correlation coefficient. (use 5% level of type I error)
c) Estimate the linear regression model. Do
you think that the regression coefficient would be significant at 5% level of significance? Give reasons.
d) Do you think the overall regression model
would be significant? Give reasons.
No comments:
Post a Comment