Classification of Variables Quiz

Types of Variables

• Discrete Variables: Isolated values, usually countable. Example: Number of persons.
• Continuous Variables: Can take any value within a range, uncountable. Examples include age, weight, and BMI.

Classification of Variables

• Monthly Salary: Quantitative
• Religion: Qualitative
• Soap Brand: Qualitative
• Temperature: Quantitative
• Occupation: Qualitative
• Food Flavor: Qualitative
• Color: Qualitative
• Wealth Status: Qualitative
• Weight: Quantitative
• Highest Education Level: Qualitative
• Duration of a Class: Quantitative
• Nationality: Qualitative
• Number of Family Members: Quantitative
• Satisfaction Level: Qualitative

Levels of Measurement

Qualitative Measurements

• Nominal Scale:

  • Consists of names or categories that cannot be ordered or numerically measured.
  • Examples: Person's name, gender, place of residence, brand name.

• Ordinal Scale:

  • Refers to categories that can be ordered but are not numerically measured.
  • Examples: Wealth status (poor, middle, rich), Education level (primary, secondary, higher).

Quantitative Measurements

• Interval Scale:
  • Numerically measurable, allows for differences to be identified but not ratios; lacks a true zero point.
  • Example: Temperature; 0°C does not indicate the absence of heat.

Definition of Variable

• A variable is a characteristic that contains two or more values or categories that can vary from one individual or object to another.
• Examples include gender, age, educational status, hair color, religion, monthly income, satisfaction level, soap brand, temperature, and GPA.

Possible Values for Variables

• Gender: Categories include Male, Female.
• Age: Possible values might range from 10 to 75 years.
• Highest Education Level: Categories such as Primary, Secondary, Higher.
• Number of Employees: Examples include 10, 50, 89, 125, 4562.
• Salary Duration: Various amounts like $1000, $10000, IR45000, BDT 98000, Rs.500000.
• Weight: Can include measures such as 45 lb., 60 kg, 900 gm, 5 ton.
• Wealth Status: Categories include Poor, Middle, Higher.

Additional Notes on Variables

• Quantitative Variables: Can be analyzed numerically (e.g., age, weight, monthly income, temperature).
• Qualitative Variables: Include categorical data (e.g., gender, religion, brand preference, satisfaction level).

Test your knowledge on the classification of variables as discrete or continuous by identifying the types of given examples. From monthly salary to wealth status, determine whether each variable is discrete or continuous.