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).