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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

TYPES OF ANALYSIS

DESCRIPTIVE ANALYSIS

INFERENTIAL ANALYSIS

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?

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?

DESCRIPTIVE ANALYSIS OF UNIVARIATE DATA

1. Prepare frequency distribution of each variable

Missing Data

Situation where certain questions are left unanswered

Analysis of multiple responses

Measures of central tendency

3 measures of central tendency

1.Mean

2.Median

3.Mode

MEAN

Arithmetic average of a variable

Appropriate for interval and ratio scale data

x

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

MODE

Point of maximum frequency

Should not be computed for ordinal or interval data unless grouped.

Widely used in business

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

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

Cross Tabulation

Responses of two questions are combined

Spearman’s rank order correlation coefficient.

Used in case of ordinal data

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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. Spearman’s rank order correlation coefficient. Used in case of ordinal data

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