yes
No, the level of satisfaction in a class is not an example of a categorical variable; it is typically considered a continuous or ordinal variable. Satisfaction can be measured on a scale (e.g., from 1 to 5), indicating varying degrees of satisfaction, rather than fitting into distinct categories. However, if satisfaction is grouped into categories (e.g., "satisfied," "neutral," "dissatisfied"), it could then be treated as a categorical variable.
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.
A dummy variable assumes a value of either 0 or 1. A categorical variable assumes one of a usually small number of values. For example, a categorical variable might assume the values 'F' or 'M' for female or male.
To determine whether the independent variable is continuous or categorical, you need to consider its nature. A continuous variable can take on an infinite number of values within a given range, such as height or temperature. In contrast, a categorical variable consists of distinct categories or groups, such as gender or type of cuisine. The classification depends on how the variable is measured and the context of the study.
The correlation ratio, often denoted as η (eta), measures the strength and direction of association between a continuous variable and a categorical variable. It quantifies how much variability in the continuous variable can be explained by the categorical variable. Unlike Pearson's correlation, which is limited to linear relationships between two continuous variables, the correlation ratio can capture relationships involving categorical data. It is particularly useful in statistical analysis to understand the influence of categorical factors on continuous outcomes.
yes a gender is a categorical variable
No, the level of satisfaction in a class is not an example of a categorical variable; it is typically considered a continuous or ordinal variable. Satisfaction can be measured on a scale (e.g., from 1 to 5), indicating varying degrees of satisfaction, rather than fitting into distinct categories. However, if satisfaction is grouped into categories (e.g., "satisfied," "neutral," "dissatisfied"), it could then be treated as a categorical variable.
Categorical.
Color is considered a categorical variable.
Neither. It is a discrete variable.
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.
Yes.
Yes.
A dummy variable assumes a value of either 0 or 1. A categorical variable assumes one of a usually small number of values. For example, a categorical variable might assume the values 'F' or 'M' for female or male.
It depends on how the variable is used. At its simplest, it would be a nominal or categorical value but, if used as part of a time series, it would be an ordinal variable.
Yeah that's a question online in your stats class. Read it more carefully. They are asking if Major (area of study) is a quantitative or categorical type of data Answer: Categorical.
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc