assignment
DESCRIPTION
No 4 TE BSTRANSCRIPT
Assignment no 4 (2015-2016) 80m
Faculty:Mr. Mohammed Hanif Semester:VI Department:BME
Subject: BS
Question no 1
a) Sample variances are computed for tidal volumes (ml) of 2 groups of patients suffering
From atrial septal defect. The results and samples sizes were as follows:
n1=31, s12=35,000 and n2=41, s2
2=20,000 compute 95% confidence interval for ratio of
2 population variances.( Given F.975(30,40)= 1.94 and F.025= .4975) 2m
b) compute 90% confidence interval for ratio of 2 population variances? 2m
c) compute 98% confidence interval for ratio of 2 population variances 2m
d) compute 95% confidence interval for ratio of 2 population variances 2m
e) A sample of 16 ten years old girls had a mean of weight of 71.5 ponds with a SD of 12
Ponds respectively. Assuming normality find 90% confidence interval for true
Population mean 2m
f) find 95% confidence interval for true Population mean 2m
g) find 98% confidence interval for true Population mean 2m
h) find 99% confidence interval for true Population mean 2m
i) Write general equation for Confidence interval for difference between sample mean and
population mean for small sample? 2m
j) Write general equation for Confidence interval for difference between 2 sample mean
For small sample? 2m
Question no 2 a) Researchers data collected is sufficient to indicate a difference in mean of serum uric
Acid levels between normal & down syndrome subjects. The data consists of uric
Acid readings of 12 and 15 with down syndrome and normal subjects and mean of
4.5mg/100ml and 3.4 mg/100ml respectively. Is there is a difference between means
Between down syndrome and normal subjects.? 6m
b) Researchers wish to know of 2 populations differ with respect to the mean value
Of total serum complement activity (CH50). the data consists of CH50 determinations
Of n2=20 apparently normal subjects and n1=10 subjects with disease. The sample
Means are 62.6 and 47.2 for disease and normal respectively and SD’s are 33.8
and 10.1 for disease and normal respectively. 6m
c) The 16 control subjects made a mean score of 11.53 on the evaluation with a
SD of 3.681. Construct 90%, 95% and 98% confidence interval for true
Population mean. 8m
Question no 3
a) Explain properties of Chi-square in details. 6m
b) The face sheet of patients record maintained in a local health department contain
10 entries. A sample of 100 records revealed the following distribution of erroneous
Entries:
No of erroneous entries out of 10 No of records
0 8
1 25
2 32
3 24
4 10
5 or more 1
Total 100
Test the goodness of fit of these data to binomial distribution with p=0.2 6m
c) Given the following tabe:
Boys →
Fathers↓
Intelligent Boy Unintelligent Boy Total
Skilled Father 24 12 36
UnSkilled Father 32 32 64
Total 56 44 100
Do these support the hypothesis that skilled father have intelligent boys? Use ᵪ2
Test 8m
Question no 4
a) During one semester a student received grades in various subjects as shown in table.
Test at the 0.01 level whether there is any significant difference in his grades
In there subjects. (given : F.99 (3,12)= 5.95)
Math 72 80 83 75
Science 81 74 77 80
English 88 82 90 87
Economics 74 71 77 70
6m
b) Seeds of 4 different types of corn are planted in 5 blocks. Test at 0.01 level whether
The yields in bushel per acre , as shown in the following table vary significantly
With soil differences (i.e 5 blocks) (given F.99(4,12)=5.41)
Types of corn →
Blocks↓
1 2 3 4
A 12 15 10 14
B 15 19 12 11
C 14 18 15 12
D 11 16 12 16
E 16 17 11 14
6m
c) There are 3 main brands of medicines. A set of its 120 sales is examined and found
to be allocated among 4 groups A,B,C,D and company names I,II and III shown in
table:
Groups →
Companies↓
A B C D
I 0 4 8 15
II 5 8 13 6
III 18 19 11 13
Is there any siginificant difference in company preferences ? Answer at 5% LOS using one
way ANOVA table.(take 10 as the code value to subtract from all given values in your
Working ) given [ F(3,8)0.05= 8.85 ] 8m