Categorical data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data.
variance
A categorical variable (also known as a discrete variable) is one whose range is countable; e.g. the variable answ has values [yes, no, not sure]. answ is a categorical variable with range 3.A continuous variable is one which is not categorical; e.g. weight is a continuous variable which can take any value between 0 and 1000 kg (say) for a human being.
Race, Sex, Age group, education level, hair color... Good examples but we might elaborate: we may give categories names. Take for example the variable, hair color. We might name each of the categories like this: red, blonde, black, etc. In this case we would have nominal categorical variables. Further we can think or categorical variables as being ordered such as income level: high, medium, low, very low or socioeconomic class: low, middle, high. These are called ordinal categorical variables because they represent levels and are grouped in levels say from high to low. As another example you might group temperature levels (categories) as cold, cool, warm and hot. So you have nominal categorical variables and ordinal categorical variables. We like to put things into categories. We have classrooms, offices, addresses, etc. We have grade levels in school. What type of categorical variables is "grade"? I graduated from the 3rd grade but my father graduated from the sixth grade. Who has the highest level of education? Why do we categorize things in the world? We group things so we can make sense of the diversity around us. We catgorize animals into species; we even name people when they are born. Is a person's name a variable? Sure is! It's nominal variable. Why is a person's name a variable? Because name changes or varies from person to person. What about the number of people in a classroom. Is that a categorical variable?name of the school
categorical
mean
Mode.
mean
Categorical data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data.
variance
A contingency table is a display of the frequency distribution of two or more categorical variables. It shows the relationship between the variables by organizing the data into rows and columns, with the intersection cells showing the frequency of each combination of variables. Contingency tables are commonly used in statistics to analyze the association between categorical variables.
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc
Categorical variables are variables that represent categories or groups. They are qualitative in nature and can take on values that are in a finite set of distinct categories, but do not have a inherent order or numerical significance. Examples include color (red, blue, green) or gender (male, female).
mode
A categorical variable (also known as a discrete variable) is one whose range is countable; e.g. the variable answ has values [yes, no, not sure]. answ is a categorical variable with range 3.A continuous variable is one which is not categorical; e.g. weight is a continuous variable which can take any value between 0 and 1000 kg (say) for a human being.
Analysis of covariance is used to test the main and interaction effects of categorical variables on a continuous dependent variable, controlling for the effects of selected other continuous variables, which co-vary with the dependent. The control variables are called the "covariates."
Race, Sex, Age group, education level, hair color... Good examples but we might elaborate: we may give categories names. Take for example the variable, hair color. We might name each of the categories like this: red, blonde, black, etc. In this case we would have nominal categorical variables. Further we can think or categorical variables as being ordered such as income level: high, medium, low, very low or socioeconomic class: low, middle, high. These are called ordinal categorical variables because they represent levels and are grouped in levels say from high to low. As another example you might group temperature levels (categories) as cold, cool, warm and hot. So you have nominal categorical variables and ordinal categorical variables. We like to put things into categories. We have classrooms, offices, addresses, etc. We have grade levels in school. What type of categorical variables is "grade"? I graduated from the 3rd grade but my father graduated from the sixth grade. Who has the highest level of education? Why do we categorize things in the world? We group things so we can make sense of the diversity around us. We catgorize animals into species; we even name people when they are born. Is a person's name a variable? Sure is! It's nominal variable. Why is a person's name a variable? Because name changes or varies from person to person. What about the number of people in a classroom. Is that a categorical variable?name of the school