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Kailash NagarT Test
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Kailash NagarRoyal tyres has launched new brand of tyres for car
and claimed that under normal condition the avrage life
of tyre is 40,000 KM. A retailer want to test this claim
and has taken a random sample of 08 tyres.
Sr. KM
1 35000
2 38000
3 42000
4 41000
5 39000
6 41500
7 43000
8 38500
A company that manufacturer plastic chairs has launched a new brand. The
company sells through various retail outlets across the country. The
management of the company believes that the average price for the new
brand is Rs 550 in all outlets. A researcher wants to verify this claim and has
taken a random sample of selling price of the new brand from 25 outlets
across the country.
Sr. Chair Price
1 540
2 555
3 560
4 565
5 563
6 567
7 555
8 552
9 543
10 546
11 560
12 551
13 542
14 558
15 556
16 552
17 550
18 556
19 559
20 554
21 557
22 558
23 556
24 543
25 553
Knowledge regarding CPR
Pretest K
Pretest K Percentage Posttest K Percentage Post K Level
Level
10 33% Inadequate 14 47% Inadequate
17 57% Moderate 16 53% Moderate
13 43% Inadequate 17 57% Moderate
21 70% Moderate 17 57% Moderate
9 30% Inadequate 18 60% Moderate
10 33% Inadequate 18 60% Moderate
11 37% Inadequate 18 60% Moderate
12 40% Inadequate 18 60% Moderate
13 43% Inadequate 18 60% Moderate
15 50% Moderate 18 60% Moderate
15 50% Moderate 18 60% Moderate
20 67% Moderate 18 60% Moderate
9 30% Inadequate 19 63% Moderate
12 40% Inadequate 19 63% Moderate
12 40% Inadequate 19 63% Moderate
15 50% Moderate 19 63% Moderate
15 50% Moderate 19 63% Moderate
17 57% Moderate 19 63% Moderate
24 80% Adequate 19 63% Moderate
25 83% Adequate 19 63% Moderate
6 20% Inadequate 20 67% Moderate
9 30% Inadequate 20 67% Moderate
9 30% Inadequate 20 67% Moderate
11 37% Inadequate 20 67% Moderate
14 47% Inadequate 20 67% Moderate
16 53% Moderate 20 67% Moderate
17 57% Moderate 20 67% Moderate
18 60% Moderate 20 67% Moderate
9 30% Inadequate 21 70% Moderate
9 30% Inadequate 21 70% Moderate
9 30% Inadequate 21 70% Moderate
9 30% Inadequate 21 70% Moderate
12 40% Inadequate 21 70% Moderate
12 40% Inadequate 21 70% Moderate
14 47% Inadequate 21 70% Moderate
17 57% Moderate 21 70% Moderate
21 70% Moderate 21 70% Moderate
13 43% Inadequate 22 73% Moderate
14 47% Inadequate 22 73% Moderate
15 50% Moderate 22 73% Moderate
21 70% Moderate 22 73% Moderate
25 83% Adequate 22 73% Moderate
11 37% Inadequate 23 77% Adequate
12 40% Inadequate 23 77% Adequate
14 47% Inadequate 23 77% Adequate
15 50% Moderate 23 77% Adequate
16 53% Moderate 23 77% Adequate
17 57% Moderate 23 77% Adequate
12 40% Inadequate 24 80% Adequate
12 40% Inadequate 24 80% Adequate
13 43% Inadequate 24 80% Adequate
12 40% Inadequate 25 83% Adequate
14 47% Inadequate 25 83% Adequate
15 50% Moderate 25 83% Adequate
14 47% Inadequate 26 87% Adequate
15 50% Moderate 26 87% Adequate
11 37% Inadequate 27 90% Adequate
19 63% Moderate 27 90% Adequate
17 57% Moderate 28 93% Adequate
9 30% Inadequate 29 97% Adequate
Vishal Foods Ltd is a leading manufacturer of biscuits. The company has
launched a new brand in the four metros; Delhi, Mumbai, Kolkata, and
Chennai. After one month, the company realizes that there is a difference in
the retail price per pack of biscuits across cities. Before the launch, the
company had promised its employees and newly-appointed retailers that the
biscuits would be sold at a uniform price in the country. The difference in price
can tarnish the image of the company. In order to make a quick inference, the
company collected data about the price from six randomly selected stores
across the four cities. Based on the sample information, the price per pack of
the biscuits (in rupees) is given in Table
City Price
Delhi 22
Delhi 22.5
Delhi 21.5
Delhi 22
Delhi 22.5
Delhi 21.5
Mumbai 19
Mumbai 19.5
Mumbai 19
Mumbai 20
Mumbai 19
Mumbai 21
Kolkata 18
Kolkata 17
Kolkata 18.5
Kolkata 17
Kolkata 18.5
Kolkata 17
Mumbai 21
Mumbai 20
Mumbai 21.5
Mumbai 20
Mumbai 21
Mumbai 20
A company is in the process of launching a new product. Before
launching, the company wants to ascertain the status of its product as a
second alternative. For doing so, the company prepared a questionnaire
consisting of 20 questions on a five-point rating scale with 1 being
“strongly disagree” and 5 being “strongly agree.” The company
administered this questionnaire to 8 randomly selected respondents
from five potential sales zones. The scores obtained from the
respondents are given in the table. Use one-way ANOVA to analyse the
significant difference in the scores
zone-1 zone-2 zone-3 zone-4 zone-5
65 70 63 70 65
67 65 65 60 64
68 68 65 62 67
70 67 67 63 68
66 65 68 65 62
64 68 63 67 65
63 67 62 68 67
60 62 60 62 68