Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
UNIVARIATE & BIVARIATE
ANALYSIS
UNIVARIATE BIVARIATE &
MULTIVARIATE
UNIVARIATE ANALYSIS
-One variable analysed at a time
BIVARIATE ANALYSIS
-Two variable ...
TYPES OF ANALYSIS
•DESCRIPTIVE ANALYSIS
•INFERENTIAL ANALYSIS
DESCRIPTIVE ANALYSIS
Transformation of raw data
Facilitate easy understanding and interpretation
Deals with summary measur...
INFERENTIAL ANALYSIS
Carried out after descriptive analysis
Inferences drawn on population parameters based on
sample resu...
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...
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.Ran...
DESCRIPTIVE ANALYSIS OF
BIVARIATE DATA
There are three types of measure used.
1.Cross tabulation
2.Spearmans rank correlat...
Cross Tabulation
Responses of two questions are combined
Spearman’s rank order
correlation coefficient.
Used in case of ordinal data
Univariate & bivariate analysis
Upcoming SlideShare
Loading in …5
×

23

Share

Download to read offline

Univariate & bivariate analysis

Download to read offline

UNIVARIATE & BIVARIATE ANALYSIS
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

Univariate & bivariate analysis

  1. 1. UNIVARIATE & BIVARIATE ANALYSIS
  2. 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. 3. TYPES OF ANALYSIS •DESCRIPTIVE ANALYSIS •INFERENTIAL ANALYSIS
  4. 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. 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. 6. DESCRIPTIVE ANALYSIS OF UNIVARIATE DATA 1. Prepare frequency distribution of each variable
  7. 7. Missing Data Situation where certain questions are left unanswered
  8. 8. Analysis of multiple responses
  9. 9. Measures of central tendency 3 measures of central tendency 1.Mean 2.Median 3.Mode
  10. 10. MEAN Arithmetic average of a variable Appropriate for interval and ratio scale data x
  11. 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. 12. MODE Point of maximum frequency Should not be computed for ordinal or interval data unless grouped. Widely used in business
  13. 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. 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. 15. Cross Tabulation Responses of two questions are combined
  16. 16. Spearman’s rank order correlation coefficient. Used in case of ordinal data
  • MinalRaorane1

    Jul. 25, 2021
  • cocoinez

    Jul. 20, 2021
  • Poojabharti118

    Jul. 18, 2021
  • PadmanabanSrinivasan1

    Oct. 21, 2020
  • AkinwumiAlex

    Sep. 28, 2020
  • TharikaRohini

    Nov. 7, 2019
  • NitinChavan81

    Nov. 2, 2019
  • simbataks

    Sep. 9, 2019
  • HarshulKamani

    Apr. 15, 2019
  • PranavNair50

    Apr. 13, 2019
  • SurbhiNandal

    Apr. 1, 2019
  • gofaonemosweu

    Nov. 24, 2018
  • srikanyachavitipalli

    Nov. 19, 2018
  • AfrinDyer

    Oct. 15, 2018
  • ShakuntKothari

    Jun. 8, 2018
  • yayabamba2

    Mar. 23, 2018
  • ShubhamThakur37

    Mar. 22, 2018
  • rajak9982

    Feb. 7, 2018
  • rajraj149

    Dec. 7, 2017
  • RajendraRaj6

    Jul. 14, 2017

UNIVARIATE & BIVARIATE ANALYSIS 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

Views

Total views

20,143

On Slideshare

0

From embeds

0

Number of embeds

15

Actions

Downloads

866

Shares

0

Comments

0

Likes

23

×