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QUESTION 1 Which of the following are categorical variables (select 2 correct an

ID: 3258345 • Letter: Q

Question

QUESTION 1 Which of the following are categorical variables (select 2 correct answers) a. What is your country of origin? b. How many siblings do you have? c. Do you smoke? d. How many cups of coffee did you drink this week e. What is your Blood Pressure? f. How would you rate the MPH Program (Excellent, Good, Fair, Poor) QUESTION 2 Which of the following are discrete numerical (scalar) variables (select 2 correct answers) a. What is your country of origin? b. How many siblings do you have? c. Do you smoke? d. How many whole cups of coffee did you drink today (n whole numbers) e. What is your Blood Pressure? f. How would you rate the MPH Program (Excellent, Good, Fair, Poor) QUESTION 3 Which of the following are numerical (scalar) variables (select 3 correct answers) a. What is the average number of cups of coffee you drink per day calculated by averaging your daily consumption for a week? b. What is the blood lead level for a child (ug/dl)? c. Do you smoke? d. What are the last 4 digits of your social security number. e. What is your Blood Pressure? f. How would you rate the MPH Program (Excellent, Good, Fair, Poor 5 points Save Answer 5 points Save Answer 5 points Save Answer

Explanation / Answer

Categorical variables take on values that are names or labels.

hence option a) country of origin

and f) how would you rate MPH

are correct

2)The values of a numerical variable are numbers. They can be further classified into discrete and continuous variables. Discrete numerical variable. Avariable whose values are whole numbers (counts) is called discrete. For example, the number of items bought by a customer in a supermarket is discrete.

option b) and d) are correct

number of sibling and number of cup of coffee

3) option a),b) and e) are correct

Just because you have a number, doesn't necessarily make it quantitative. For example, zip codes, phone numbers and bank-accounts are numeric, but it doesn't make much sense to find the average phone number or median zip-code. These are examples of numbers applied to categorical data.

hence the last 4 digit of social security number is not numerical ,

4)

An ordinal variable is a categorical variable for which the possible values are ordered. Ordinal variables can be considered “in between” categorical and quantitative variables.

hence option b) and f) are correct

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