Countable observations, for example, number of defects.

The correct answer is C. Discrete Data. Discrete Data refers to countable, whole-number observations that can only take specific integer values - like the number of defects (you can have 3 defects, not 3.7). This is the defining characteristic: if you can count it, it's discrete. A (Sample Size) is wrong because sample

Measure Phase

Question

Options

ASample Size
BAttribute Data
CDiscrete Data
DVariable Data

How the community answered

(60 responses)

A
2% (1)
B
5% (3)
C
92% (55)
D
2% (1)

Explanation

Discrete Data refers to countable, whole-number observations that can only take specific integer values - like the number of defects (you can have 3 defects, not 3.7). This is the defining characteristic: if you can count it, it's discrete.

A (Sample Size) is wrong because sample size describes how many items you're measuring, not the type of data being collected.
B (Attribute Data) is wrong because attribute data classifies items into categories (pass/fail, conforming/non-conforming) rather than counting occurrences - though the line can blur, "number of defects" is specifically discrete.
D (Variable Data) is wrong because variable data is continuous and measured on a scale (temperature, weight, length) - it can take any value within a range, including decimals.

Memory tip: Think of discrete as distinct counts you can list on your fingers - defects, complaints, errors. If you need a ruler or scale to measure it, it's variable; if you need to count it, it's discrete.

Topics

#discrete data#data types#attribute data#measurement

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