Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Univariate Analysis

What is the primary method used to analyze categorical variables in univariate analysis?

• Pie charts

• Line graphs

• Bar plots

• Scatter plots

Which of the following is a categorical variable discussed in the video?

• Applicant's income

• Loan amount

• Gender

• Dependents

What percentage of applicants in the dataset are male?

• 50%

• 65%

• 80%

• 85%

What distinguishes ordinal variables from other categorical variables?

• They have more than two categories

• They have a natural order

• They are always binary

• They are always numeric

Which variable is used as an example of an ordinal variable in the video?

• Gender

• Dependents

• Credit history

• Loan status

What SAS procedure is used to analyze numeric variables in univariate analysis?

• PROC REG

• PROC UNIVARIATE

• PROC FREQ

• PROC MEANS

What is the distribution shape of the applicant's income variable?

• Normally distributed

• Skewed to the right

• Uniformly distributed

• Skewed to the left

What is the purpose of identifying extreme observations in the dataset?

• To remove them from the dataset

• To understand potential outliers

• To create a histogram

• To calculate the mean

How can we determine if high-income observations are true outliers?

• By comparing them with the median

• By calculating the standard deviation

• By checking their frequency

• By comparing them with education level

What is a possible reason for high-income observations not being true outliers?

• They correlate with higher education levels

• They are due to a large sample size

• They are randomly distributed

• They are errors in data entry