Question

categorize each variable in the table below.
variable
stu. gender intro_extra... dread
1 male extravert... 3
2 female extravert... 2
3 female introvert... 4
4 female extravert... 2
...
86 male extravert... 3
observation
dread
a. numerical, discrete
gender
b. categorical, nominal
intro_extra
c. categorical, ordinal
d. numerical, continuous

Explanation:

Step1: Analyze the 'dread' variable

The 'dread' variable takes on numerical values (2, 3, 4 etc.). Also, it can only take on specific, separate values (you can't have a value like 2.5 for 'dread' in this context). So, it is numerical and discrete.

Step2: Analyze the 'gender' variable

The 'gender' variable has categories like'male' and 'female'. There is no order or ranking among these categories (male is not 'higher' than female in a numerical - order sense). So, it is categorical and nominal.

Step3: Analyze the 'intro_extra' variable

The 'intro_extra' variable has categories like 'introvert' and 'extravert'. There is no inherent order (introvert is not 'less than' or 'greater than' extravert in a numerical - order sense). So, it is categorical and nominal.

Answer:

dread: a. numerical, discrete
gender: b. categorical, nominal
intro_extra: b. categorical, nominal