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JNTU Pharm. D IV Year BIOSTATISTICS AND RESEARCH METHODOLOGY Previous Question Paper (October - 2020 - R08)

Pharm. D | IV Year | IV Year | R08 | October - 2020

Answer PaperPaper Code: PD404Maximum Marks: 70Time: 2 hours

Answer any five questions. All questions carry equal marks.

Main

1

Calculate the mean and median for the following data:

X10-2020-3030-4040-5050-60
F710163224
14 marks

Answer

To calculate the mean and median for the grouped frequency distribution, we first determine the midpoints (x) and cumulative frequencies (cf).

Class IntervalFrequency (f)Midpoint (x)fxCumulative Frequency (cf)
10-207151057
20-30102525017
30-40163556033
40-503245144065
50-602455132089
TotalN = 89-Σfx = 3675-

1. Mean Calculation:

Mean = Σfx / N = 3675 / 89 ≈ 41.29

2. Median Calculation:

The median class is identified by the value N/2 = 89/2 = 44.5. The cumulative frequency just greater than 44.5 is 65, corresponding to the class interval 40-50.

Median = L + [(N/2 - cf) / f] × h

Where L = 40, N/2 = 44.5, cf = 33 (cumulative frequency of the preceding class), f = 32 (frequency of the median class), and h = 10 (class width).

Median = 40 + [(44.5 - 33) / 32] × 10
Median = 40 + [11.5 / 32] × 10 = 40 + 3.59 = 43.59
2

A company has appointed four sales man A, B, C and D and observed their sales in three seasons Winter, Monsoon and Summer, the following table reflects their performance (INR in lakhs):

Seasons / SalesmanABCD
Winter28292132
Monsoon26282929
Summer36362135

Test whether salesman significantly differ in their performance and sales different between seasons.

14 marks

Answer

To test whether the performance of salesmen and the sales across seasons differ significantly, we perform a Two-Way ANOVA without replication. Let the null hypotheses be: H01: There is no significant difference between the performance of salesmen. H02: There is no significant difference between the sales in different seasons.

Step 1: Calculate row totals (Seasons) and column totals (Salesmen):

ABCDRow Total
Winter28292132110
Monsoon26282929112
Summer36362135128
Col Total90937196Grand Total (G) = 350

Step 2: Calculate Correction Factor (CF):

CF = G2 / N = 3502 / 12 = 10220.83

Step 3: Calculate Sum of Squares (SS):

Total SS = Σx2 - CF = (282 + 292 + ... + 352) - 10220.83 = 10522 - 10220.83 = 301.17

SS (Rows/Seasons) = (1102 + 1122 + 1282) / 4 - 10220.83 = 41088 / 4 - 10220.83 = 51.17

SS (Columns/Salesmen) = (902 + 932 + 712 + 962) / 3 - 10220.83 = 31066 / 3 - 10220.83 = 134.50

SS (Error) = Total SS - SS(Rows) - SS(Columns) = 301.17 - 51.17 - 134.50 = 115.50

Step 4: ANOVA Table:

SourceSSdfMSF-ratio
Seasons51.17225.585FR = 25.585 / 19.25 = 1.33
Salesmen134.50344.833FC = 44.833 / 19.25 = 2.33
Error115.50619.25
Total301.1711

Step 5: Conclusion. For df(2,6), Fcrit at 5% is 5.14. For df(3,6), Fcrit at 5% is 4.76. Since calculated FR (1.33) < 5.14 and FC (2.33) < 4.76, we fail to reject H01 and H02. There is no significant difference in performance between salesmen or between seasons.

3

Write a brief note on working procedure for:

14 marks
a

Wilcoxon signed rank test

7 marks

Answer

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b

Mann whitney U test.

7 marks

Answer

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4

Calculate the correlation coefficient for the following data:

X13457810
Y26810141620
14 marks

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5

The following table gives the classification of 100 workers according to sex and nature of work. Justify whether the nature of work is independent of the sex of the worker.

SkilledUnskilled
Male4020
Female1030
14 marks

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6

Two different formulation of a tablet were compared for their rate of dissolution. Determine if the dissolution rates of two formulations differ at 5% level of significance (given 5% t for 18d.f = 2.10)

Formulation A: 73, 78, 75, 79, 70, 74, 84, 80, 83, 67

Formulation B: 64, 79, 71, 68, 79, 60, 62, 78, 73, 70

14 marks

Answer

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7

Discuss the various types of clinical study designs.

14 marks

Answer

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8

Explain the uses of computers in patient record database management.

14 marks

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