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📊 Types of Variables in Statistics — A Simple Breakdown
If stats class has you confused about variable types, save this. It's simpler than you think: 👇
Every variable falls into one of two categories:
🔵 Qualitative (Categorical) — describes qualities, not numbers
🔹 Nominal — Labels with no order. Think hair color, gender, yes/no answers. You can name them, but you can't rank them.
🔹 Ordinal — Labels WITH a meaningful order. Rankings (1st, 2nd, 3rd), satisfaction levels, education levels. Order matters, but the gaps between them don't.
🔴 Quantitative (Numerical) — describes measurable amounts
🔹 Discrete — Counted whole numbers. Number of students in a class, dice rolls, shoe sizes. You can count them one by one.
🔹 Continuous — Measured values on a scale. Height, temperature, time. These can take ANY value within a range — including decimals.
💡 Quick trick: If you can count it → Discrete. If you measure it → Continuous. If you name it → Nominal. If you rank it → Ordinal.
📌 Save this for your stats exam — you WILL see this question!
🔗 Practice with quizzes at quizflex.ai
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