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What type of scale is the bar graph scale?
On the "category axis", the scale may be nominal, ordinal, interval or ratio scale. On the frequency axis the scale must be numerical.On the "category axis", the scale may be nominal, ordinal, interval or ratio scale. On the frequency axis the scale must be numerical.On the "category axis", the scale may be nominal, ordinal, interval or ratio scale. On the frequency axis the scale must be numerical.On the "category axis", the scale may be nominal, ordinal, interval or ratio scale. On the frequency axis the scale must be numerical.
Can you do an ANOVA with nominal data?
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.
What is the opposite of a numerical scale?
One possible opposite of a numerical scale is a "nominal" scale. In the study of statistics, we use four "scales of measurement": nominal; ordinal; interval; ratio. The "nominal," scale, which simply names categories, is, in a sense, non-numerical. On "nominal" scales, people or objects with the same attribute are assigned the same scale-value. Examples of categories on nominal scales are ethnicity, gender, marital status, styles of housing, models of cars. For example, a nominal scale of "marital status" might be numbered as follows: 1. Single, never married. 2. Single, previously married. 3. Married. Although we may count the number of people (or items) in each category, the numerals assigned to the "nominal" scale have no 'numeric' meaning in the way that we usually think about numbers. On that view, a nominal scale may be said to be non-numerical and, therefore, the opposite of a numerical scale. Actually, integers form a subset of numbers, not the other way around.
Is months of the year a categorical variable?
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.
What is The actual numerical value assigned to nominal level variable?
The whole point of a nominal variable is that is has no numerical value associated with it. With a binary measure you can allocated the values 1 and 0 or +1 and -1 for observations where the attribute is present or absent. If there are more than 2 values that the nominal variable can take then you can allocate any numbers that you want but in all cases the numbers do not have a value: they are simply symbols which can help for sorting and for binary comparisons.
