Univariate & bivariate analysis
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- 1. UNIVARIATE & BIVARIATE ANALYSIS
- 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