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Rajiv Gandhi University of Health Sciences, Karnataka
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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
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Draw neat labeled diagrams wherever necessary
LONG ESSAYS (Answer any two) 2 x 10 = 20 Marks
- What are case studies? Explain.
- Define (a) Incidence rate, (b) Prevalence rate, (c) Relative risk, and (d) Attributable risk.
- Explain the role of computers in maintaining patient medication profiles.
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SHORT ESSAYS (Answer any six) 6 x 5 = 30 Marks
- Define correlation and regression. Interpret the correlation coefficient for its different values.
- Define relative measures of variation. Explain its importance over standard deviation with an illustration.
- 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.
- Write a note on statistical software.
- Write a note on computerizing the prescription dispensing process.
- Describe the different types of graphical methods used for presenting qualitative data.
- 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--- Content provided by FirstRanker.com ---
Test which drug is more effective in reducing the pulse rate by stating suitable hypotheses. (Critical value is 1.734) - 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?
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SHORT ANSWERS 10 x 2 = 20 Marks
- Student's paired t-test
- Quantitative and qualitative variables
- Scattered plot
- Type I and Type - II errors
- Sign test
- Semi logarithmic plots
- Percentiles
- Pearson's correlation
- Role of sample size in the calculation of confidence interval
- Report writing
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