What scale of measurement is weight?
The weight of an object would be an example of a ratio scale. Each value on the weight scale has a unique meaning, weights can be rank ordered, units along the weight scale are equal to one another, and the scale has a minimum value of zero.
What is ratio measurement?
Ratio measure refers to the highest (most complex) level of measurement that a variable can possess. There are many situations in which a ratio measure is more appropriate than a total or mean or other descriptive statistic when reporting the results of a survey.
Is percentage nominal or ordinal?
Typical descriptive statistics associated with nominal data are frequencies and percentages. Ordinal level variables are nominal level variables with a meaningful order. For example, horse race winners can be assigned labels of first, second, third, fourth, etc.
Are months ordinal?
Month should be considered qualitative nominal data. With years, saying an event took place before or after a given year has meaning on its own. There is no doubt that a clear order is followed in which given two years you can say with certainty, which year precedes which. As for months, on their own, you cannot.
Is date an ordinal variable?
Dates are certainly ordered, so we could say that dates are ordinal type, but they are certainly more than that. When talking specifically about days in this sense, astronomers use Julian days.
Is a rating scale ordinal?
Some examples of variables that use ordinal scales would be movie ratings, political affiliation, military rank, etc. One example of an ordinal scale could be “movie ratings”.
What are ordinal questions?
Ordinal Scale Questions This question type asks respondents to rank a range of items or choose from an ordered set. This is helpful when you want to find out the importance level of each individual. Make sure to identify your number scale (1 being the first choice and 5 being the last choice etc.).
What type of data is gender?
What is Categorical Data? Categorical data is a type of data that can be stored into groups or categories with the aid of names or labels. For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each gender.