Bivariate analysis HGEN619 class 2007. Univariate ACE model.
Univariate & bivariate analysis
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Transcript of Univariate & bivariate analysis
- 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