GLS UNIVERSITY’S
FACULTY BUSINESS ADMINISTRATION (GLSBBA)
THEORY ASSIGNMENT
2019-20
TY BBA: SEMESTER
V
SUBJECT CODE: CORE COURSE: 170101504
RESEARCH METHODOLOGIES TOOLS AND ANALYSIS
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Assignment Topic
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Large Sample Tests
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Small Sample Tests
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LARGE SAMPLE TESTS
1. A
stenographer claims that she can take dictation at the rate of 120 words per
minute. Can we reject her claim on the basis of 100 trials in which she
demonstrates a mean of 116 words with a standard deviation of 15 words? Use 5 %
level of significance
2. A random
sample of boots worn by 40 combat soldiers in a desert region showed an average
life of 1.08 years with a standard deviation of 0.05 Under the standard
conditions, the boots are known to have an average life of 1.28 years. Is there
reason to assert at a level of significance of 0.05 that use in the desert
causes the mean life of such boots to decrease?
3. In two
large population, there are 30 % and 25 % respectively of blue eyed people . Is
this difference likely to be hidden in the sample of 1200 and 900 respectively
from the two population.
(TO BE CONTINUED…..)
4. A
company manufacturing a certain type of breakfast cereal claims that 60 per
cent of all housewives prefer that type to any other. A random sample of 300
housewives contains 165 who do prefer that type. At 5 per cent level of
significance ,test the claim of company.
5. Two
independent samples are drawn from two different population. The information is
given below:
Sample size Mean S.D.
100 1200 240
200 900 20
Test whether the variability of life of bulbs of the
factories significantly differ.
SMALL SAMPLE TESTS
1. In 15
half – hour evening program, the mean time devoted to commercials was 6.4
minutes with s1 =2 minutes . In 15 hour morning programs the mean time was 5.8
minutes with s2 =
1.5 minutes. Test at 5 % level of significance, if the
data indicates that the mean time devoted to commercials is significantly less
in the mornings? (Assume that the
populations are normally distributed with same but unknown variance.
2. The Peak
Expiratory Flow Rate (PEFR) of 9 asthma patients was taken before and after a
walk on an extremely cold winter day for comparing the rates. The following
data was obtained:
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Patient
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1
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2
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3
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4
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5
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6
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7
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8
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9
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Before
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312
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242
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340
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388
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296
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254
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391
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402
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290
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After
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300
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201
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232
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312
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220
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256
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328
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330
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231
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Test whether there is any significantly difference
between the PEFR of asthma patients before and after a walk on a cold winter
day.
3. A
manufacturer of cells tested 25 cells to find their mean lifetime. The sample
indicated an average of 420 hours with a standard deviation of 43 hours. Find a
95 % confidence interval for mean lifetime of the cells.
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