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.
continuous discrete
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.
A t-test typically measures two variables: one categorical independent variable with two levels (groups) and one continuous dependent variable. It assesses whether there is a statistically significant difference in the means of the continuous variable between the two groups.
Yes, some of the do exist.
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.
Neither. It is a discrete variable.
continuous discrete
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.
A t-test typically measures two variables: one categorical independent variable with two levels (groups) and one continuous dependent variable. It assesses whether there is a statistically significant difference in the means of the continuous variable between the two groups.
Two way ANOVA
yes a gender is a categorical variable
Yes, some of the do exist.
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.
It depends how we have computed %age. By and large, percentage is a summary statistic. Its a categorical variable (may be nominal or ordinal). That way its a discrete. In case of assay or yield computations it becomes a continuous variable. Naresh K Chawla nkchawla@gmail.com
Categorical.
It depends how we have computed %age. By and large, percentage is a summary statistic. Its a categorical variable (may be nominal or ordinal). That way its a discrete. In case of assay or yield computations it becomes a continuous variable. Naresh K Chawla nkchawla@gmail.com