A nominal variable is a type of categorical variable that represents distinct categories without any inherent order or ranking. Examples include gender, nationality, or favorite color, where the values serve to label different groups. Since nominal variables do not have a quantitative value, statistical analysis typically involves counting occurrences or determining proportions within each category.
Mean
Nominal (categorical), and Dependent (it is measured and accounted for, but a researcher cannot manipulate gender).
For a nominal variable like religious affiliation, a representative value is typically the mode, which is the category that occurs most frequently in the dataset. Since nominal variables do not have a natural order or numerical value, the mode provides insight into the most common group within the data. Other descriptive statistics, such as percentages or proportions, can also be useful for summarizing the distribution of various affiliations.
Yes, a phone number is considered a nominal variable in statistics. Nominal variables are categorical data that represent distinct categories without a meaningful order or ranking. Since phone numbers are used to identify individuals or entities and do not have inherent numerical value or order, they fit this classification.
A nominal variable is where you assign a number to a category. Imagine a variable called "animal" where 1=sheep, 2=cow, 3=dog, etc. Calculating the average, standard deviation or other continuous measures of "animal" in this context wouldn't make any sense. That is, an average "animal" of, say, 4.567 with standard deviation of 1.234 doesn't mean anything. You could, however, calculate a mode, which is the most frequently occurring category.
Nominal
yes
No. It is a discrete quantitative variable.
A nominal variable is a variable measured in current dollars (the value of the dollar for the specific period discussed), and a real variable is a variable measured in constant dollars (the value of the dollar for the base period). That is, a real variable adjusts for the effects of inflation.
Mean
nominal
No. A discrete variable is one that takes discrete numerical values. But a discrete variable can be ordered while a nominal one cannot. Age, in years, is a discrete variable, and you can say that a 10-year old is younger than a 20-year old who is younger than a 40-year old. Favourite fruit would generate a nominal variable but you cannot say that a banana is more than an apple which, in turn, is more than an orange, etc. (Remember, you are talking only of the nominal values of the fruit - not their price or size or nutritional value or any such characteristic.)
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.
It is a bar chart.
no. its a limitation of an ordinal variable not a nominal.
A nominal variable is one where observations are classified to categories eg small, medium and large for t-shirts. A real variable is one that takes numerical values, such as shirt size 12, 14, 16 etc. A real value may be a continuous (as opposed to discrete) variable but the very act of recording the observation usually results in the continuous variable being replaced by a discrete one.
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.