Download RGUHS Pharm-D 4th Semester 2014 Jan 2870 Biostatistics And Research Methodology Question Paper

Download RGUHS (Rajiv Gandhi University of Health Sciences) Pharm.D (Doctor of Pharmacy) 4th Semester 2014 Jan 2870 Biostatistics And Research Methodology Question Paper.

Rajiv Gandhi University of Health Sciences, Karnataka
IV Year Pharma-D (Post Baccalaureate) Degree Examination ? Jan 2014

Time: Three Hours Max. Marks: 70 Marks

BIOSTATISTICS AND RESEARCH METHODOLOGY

Q.P. CODE: 2870

Your answers should be specific to the questions asked
Draw neat labeled diagrams wherever necessary
LONG ESSAYS (Answer any two) 2 x 10 = 20 Marks
1.
What are case studies? Explain.
2.
Define (a) Incidence rate, (b) Prevalence rate, (c) Relative risk, and (d) Attributable risk.
3
Explain the role of computers in maintaining patient medication profiles.

SHORT ESSAYS (Answer any six) 6 x 5 = 30 Marks
4.
Define correlation and regression. Interpret the correlation coefficient for its different
values.
5.
Define relative measures of variation. Explain its importance over standard deviation with
an illustration.
6.
Describe analysis of variance by stating related assumptions. Explain why Student?s t-test
cannot be applied where analysis of variances has to be applied.
7.
Describe the different types of graphical methods used for presenting qualitative data.
8.
Write a note on statistical software.
9.
Write a note on computerizing the prescription dispensing process.
10.
The following data on pulse rate are obtained in a study to assess the effectiveness of two
drugs.
Drug A: 90, 89, 94, 103, 96, 107, 112, 95, 112, 101
Drug B: 98, 82, 89, 85, 78, 81, 80, 73, 71, 70
Test which drug is more effective in reducing the pulse rate by stating suitable hypotheses.
(Critical value is 1.734)
11.
What are the assumptions under which Chi-square test can be applied to analyze data? If
these assumptions fail which alternative statistical test do you suggest in analyzing data?

SHORT ANSWERS 10 x 2 = 20 Marks
12.
Student?s paired t-test
13.
Quantitative and qualitative variables
14.
Scattered plot
15.
Type ? I and Type ? II errors
16.
Sign test
17.
Semi logarithmic plots
18.
Percentiles
19.
Pearson?s correlation
20.
Role of sample size in the calculation of confidence interval
21.
Report writing
*****
FirstRanker.com - FirstRanker's Choice