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A continuous variable is one which can take any numerical value over some interval. An ordinal variable is one that can take non-numerical or categoric values which can be put into some logical order but where the difference between successive categories cannot be quantified. One example may be Small-Medium-Large, or a popular one among opinion pollsters: Disagree Strongly-Disagree-Agree-Agree Strongly.
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What is the difference between Nominal ordinal and interval ratio?
intervals in degrees, nominal gender, ratio speed, ordinal grading
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 similarity between cardinal and ordinal numbers?
Normally ordinal numbers refer to positive positions. Cardinal numbers are negative, zero or positive.
What is the ordinal number for 26?
What is the ordinal number for 26
Is age of conviction nominal ordinal or interval?
ordinal
Is age a ordinal variable?
No It's continuous variable a that also falls under the category of 'ratio level of measurement'
What type of variable is the number of car accidents reported in your city?
Depends, if you're looking for the raw score then you have a continuous ordinal variable. If you have range of number of car accidents, then you have an interval variable.
Can likert scale be a continuous variable?
As it's commonly used, with each point representing a number, it's not a continuous variable. For example, if someone hits a radio button for disagree=2, then it's a discrete variable. If, however, interval choices between points are allowed by the setting, then the scale is measured and the numbers are assigned as fractions or decimals such as 1.88, it becomes a continuous variable, although still ordinal in nature as one can not infer a set ratio between each response.
Is a variable discrete or continuous?
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
Is percent a discrete or continuous 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
Is yearly income a continuous variable or a discrete variable?
Actually, it can be and is frequently treated as either. If the data is collected as a numerical value (for example, $35,500), then it is continuous. However, it is often simpler and more useful, especially in surveys, to collect the data as a set of ranges (20,000 - 29,999; 30,000 - 39,999; etc.). In this case, it would be an ordinal variable. Ordinal variables are discreet categories that still have a rank order.
What is the ordinal scale in statistics?
An ordinal scale is a method of categorising observation according to a scheme in which there is a sense of ordering between categories but the difference between categories is variable and unspecified. For example, the scale {strongly disagree, disagree, neither disagree nor agree, agree, strongly disagree}.
What is the difference between Nominal ordinal and interval ratio?
intervals in degrees, nominal gender, ratio speed, ordinal grading
What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
What is the difference between one and first?
"One" is a cardinal number, while "first" is an ordinal number.
True or false Data at the ordinal level are quantitative only?
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.
Differences between cardinal and ordinal utility approach?
A difference is that with ordinal utility approaches, you cannot numerically measure the level of consumer satisfaction. With cardinal utility approaches, you can to an extent.
