a) Meaning,
b) Definition,
c) Methodology,
d) Research process, Criterion of good research
a) Independent and dependent variables
b) Qualitative and quantitative variables
c) Discrete and continuous variables
d) Confounding variables
e) Methods of controlling variables
f) Measurement of variables.
a) Meaning
b) Characteristics of a good sample design
c) Steps in sampling design
d) Types
e) Advantages
a) Primary data; Questionnaire
b) Schedules
c) Interview observation & other methods
d) Secondary data
e) Reliability
f) Suitability & Adequacy of data.
a) Processing Operations
b) Editing
c) Coding,
d) Classification and tabulation of data
e) Elements of Data Analysis Role of statistics in Data Analysis
f) Statistical Tables
a) Types
Format of writing the report
· Probability:
a) Probability
b) Basic Aspects
c) Probability of combination of events
d) Probability of random variables
e) Distribution of random variable
f)
· Statistical Methods:
a) Measures of Central tendency- Mean,
b) Median, Mode
c) Arithmetic
d) Geometric and Harmonic mean.
· Common Distribution functions:
a) Binomial probability distribution
b) Poisson distribution and normal distribution curve.
· Measures of Dispersion:
a) Range
b) Mean Deviation
c) Variance
d) Standard Deviation
e) Coefficient of variation
a) Least square method of fitting a regression line
b) Curvilinear regression
c) Correlation methods
Correlation coefficient.
a) Elements of Testing a Statistical Hypothesis
b) Formulation of the problem, Types of errors
c) Level of significance
d) Large sample tests for proportions
e) Single mean and difference in two means.
a) Application of t- test for testing the significance of single mean & difference in two means (independent and paired-t).
a) Test for goodness of fit
b) Independence of attributes using 2x2 and rx c contingency tables.
· Definitions of F test
Application of F test for testing of equality of two variances.
Experimental design:
a) Completer random design
b) Random Block Design
c) Latin square design
a) Concept
b) Assumptions
Basic idea of one way and two way classification with simple questions.