What Type Of Variable Is Age Group

Also because the age cat is not a numeric variable i e you do not want to sum up this variable i would put it as a character var of length 1 specifying it in an format statement upfront best practice in sas data management. Nominal continuous ordinal and binary.

A Chi Square Result For Association Between Age Groups And Types

Usually if such a coding is used all categorical variables will be coded and we will tend to do this type of coding for datasets in this course.

What type of variable is age group. 124 else if 12 age 20 then agegrp 2. Egen agegroup cut age at 1 5 100 label. So type of property is a nominal variable with 4 categories called houses condos co ops and bungalows.

125 else if age 20 then agegrp 3. The problem was in your if statements with multiple conditions. Sometimes quantitative variables are divided into groups for analysis in such a situation although the original variable was quantitative the variable analyzed is categorical.

I am using stata 13 1 and i am trying to convert a variable for age groups in the form 1. The age groups are as follows. Variable age is uninitialized.

It can take on many different values such as 18 49 72 and so on. Independent vs dependent variables experiments are usually designed to find out what effect one variable has on another in our example the effect of salt addition on plant growth. A variable is a property that can take on many values.

Parts of the experiment. A great example of this is a variable like age. It can take on two different values either male or female.

Of note the different categories of a nominal variable can also be referred to as groups or levels of the nominal variable. Older but younger than 20 group 3 20 or older 123 if age 12 then agegrp 1. 11 obtained after converting a continuous age variable 1 100 using the following command.

Also important are the meaning of the variable within the research context and how it was measured. A person s age does after all have a meaningful zero point birth and is continuous if you measure it precisely enough. I m analysing some data and i m trying to figure out whether or not to treat the variable of age group as ordinal or nominal data.

It can take on values such as 1st place 2nd place 3rd place and so on. Another example of a nominal variable would be classifying where people live in the usa by state. 122 create age groups so that group 1 children under 12 years old group 2 children 12 or.

This example sheet is color coded according to the type of variable. Gender is a variable. Age is technically continuous and ratio.

18 24 25 39 40 60 and 60. Place in a race is another variable. Age is a variable.

What type of variable are my age groups. The fact that the distances between the catagories aren t equal across the range is throwing me off.

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