Week 2: Descriptive Analysis Of Categorical Data Flashcards
Descriptive analysis of categorical data
1) Frequency distributions
2) Study of the shape of data
3) Mode
4) Measures of variability
Frequency distributions are shown as
1) Tables or 2) graphs (bar charts and pie charts)
Frequency distributions give information about
More or less frequent categories
A pie chart displays
Relative frequencies or percentages of categorical data
Cross tabulation
(Considering two qualitative or categorical variables )
Bivariate frequency distribution
A cross tabulation shows
The join frequency distribution and two marginal frequency distributions, one for each variable
Percentages are calculated by
Dividing counts by the sample size and multiplying by 100
Bivariate frequency distributions allow us to examine
Relationships between variables
Descriptive analysis of categorical data (shape of data)
1) study of the shape of data an 2) mode
Detected shapes of data when observing frequency distributions:
1) uniform 2) non uniform and unimodal 3) non uniform and multimodal
The percentage of the mode can be used as a
Measure of variability
When the distribution is fairly uniform
The percentage of the mode will be quite low denoting high variability
When the distribution is not uniform and the percentage of the mode is high
The statistical units are less spread all over categories denoting low variability