no, they are categorical
Categorical data varies when there are a variety of different categories.
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.
The graph that is most used for categorical data is the pie chart. Bar graphs have also been used for categorical data.
bar graphs use categorical data
no, they are categorical
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
Types of statistical data include; 1.Numerical 2.Categorical 3.Ordinal
Categorical data varies when there are a variety of different categories.
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.
False. Data at the ordinal level can be either quantitative or qualitative. In ordinal data, the categories have a meaningful order or rank, but the difference between the categories is not necessarily equal.
The independent variable in ANOVA must be categorical (either nominal or ordinal). The dependent variable must be scale (either interval or ratio). However, it is possible to recode scale variables to categorical and vice versa in order to perform ANOVA. While this is a common practice in many social sciences, it is controversial. I have also seen studies where ordinal data is treated as scale in ANOVA. Personally, I do not endorse either practice as they are tailoring the data to fit the test instead of the proper method of selecting a test that fits the data.
The graph that is most used for categorical data is the pie chart. Bar graphs have also been used for categorical data.
bar graphs use categorical data
It is ordinal.
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.