Exam Details
Subject | demography and health data management | |
Paper | paper 4 | |
Exam / Course | m.sc non-medical biostatistics | |
Department | ||
Organization | Dr.M.G.R. Medical University | |
Position | ||
Exam Date | October, 2018 | |
City, State | tamil nadu, chennai |
Question Paper
OCTOBER 2018 Sub. Code: 2864
M.Sc. BIOSTATISTICS EXAMS
FIRST YEAR
PAPER IV DEMOGRAPHY AND HEALTH DATA MANAGEMENT
Q.P. Code 282864
Time Three hours Maximum 100 marks
I. Elaborate on: x 20 40)
1. Define demography and composition and distribution of population growth with
suitable example.
2. Write a detailed note on use of SAS in Health data management by explaining the
steps involved in executing SAS program and running query language and
summarizing information with example.
II. Write notes on: (10 x 6 60)
1. Deming Index.
2. Population Pyramid.
3. Graphs and Charts using MS Excel with example.
4. Types Data transformations using SPSS with example.
5. Abridged life table.
6. Calculation of t test using SAS.
7. Cross tabulation using SPSS with example.
8. Data Manipulation in MS Excel with example.
9. Effects of Fertility.
10. Crude and Specific rates.
M.Sc. BIOSTATISTICS EXAMS
FIRST YEAR
PAPER IV DEMOGRAPHY AND HEALTH DATA MANAGEMENT
Q.P. Code 282864
Time Three hours Maximum 100 marks
I. Elaborate on: x 20 40)
1. Define demography and composition and distribution of population growth with
suitable example.
2. Write a detailed note on use of SAS in Health data management by explaining the
steps involved in executing SAS program and running query language and
summarizing information with example.
II. Write notes on: (10 x 6 60)
1. Deming Index.
2. Population Pyramid.
3. Graphs and Charts using MS Excel with example.
4. Types Data transformations using SPSS with example.
5. Abridged life table.
6. Calculation of t test using SAS.
7. Cross tabulation using SPSS with example.
8. Data Manipulation in MS Excel with example.
9. Effects of Fertility.
10. Crude and Specific rates.
Other Question Papers
Subjects
- demography and health data management
- epidemiology and degisnof experiments
- management
- probability and distribution theory
- statistical inference sampling methods andsample size