2. UNIVARIATE BIVARIATE & MULTIVARIATE UNIVARIATE ANALYSIS
-One variable analysed at a time BIVARIATE ANALYSIS -Two variable
analysed at a time MULTIVARIATE ANALYSIS -More than two variables
analysed at a time
3. TYPES OF ANALYSIS DESCRIPTIVE ANALYSIS INFERENTIAL
ANALYSIS
4. DESCRIPTIVE ANALYSIS Transformation of raw data Facilitate
easy understanding and interpretation Deals with summary measures
relating to sample data Eg-what is the average age of the
sample?
5. INFERENTIAL ANALYSIS Carried out after descriptive analysis
Inferences drawn on population parameters based on sample results
Generalizes results to the population based on sample results Eg-is
the average age of population different from 35?
6. DESCRIPTIVE ANALYSIS OF UNIVARIATE DATA 1. Prepare frequency
distribution of each variable
7. Missing Data Situation where certain questions are left
unanswered
8. Analysis of multiple responses
9. Measures of central tendency 3 measures of central tendency
1.Mean 2.Median 3.Mode
10. MEAN Arithmetic average of a variable Appropriate for
interval and ratio scale data x
11. MEDIAN Calculates the middle value of the data Computed for
ratio, interval or ordinal scale. Data needs to be arranged in
ascending or descending order
12. MODE Point of maximum frequency Should not be computed for
ordinal or interval data unless grouped. Widely used in
business
13. MEASURE OF DISPERSION Measures of central tendency do not
explain distribution of variables 4 measures of dispersion 1.Range
2.Variance and standard deviation 3.Coefficient of variation
4.Relative and absolute frequencies
14. DESCRIPTIVE ANALYSIS OF BIVARIATE DATA There are three
types of measure used. 1.Cross tabulation 2.Spearmans rank
correlation coefficient 3.Pearsons linear correlation
coefficient
15. Cross Tabulation Responses of two questions are
combined
16. Spearmans rank order correlation coefficient. Used in case
of ordinal data