A set of values or items selected from some population.

The correct answer is C. Sample. Sample (C) is correct because by definition, a sample is a subset of values or items drawn from a larger population - it's the core concept in sampling theory and statistical inference. Factors (A) refer to variables or conditions that may influence an outcome, used in…

Measure Phase

Question

Options

AFactors
BAlpha Risk
CSample
DSample Size

How the community answered

(40 responses)

A
5% (2)
B
3% (1)
C
90% (36)
D
3% (1)

Explanation

Sample (C) is correct because by definition, a sample is a subset of values or items drawn from a larger population - it's the core concept in sampling theory and statistical inference.

Factors (A) refer to variables or conditions that may influence an outcome, used in experimental design and ANOVA - not a selected subset of a population.
Alpha Risk (B) is the probability of a Type I error (rejecting a true null hypothesis) - a decision risk threshold, not a collection of data points.
Sample Size (D) is the count of items in a sample (e.g., n = 50), not the sample itself - it describes how many, not what was selected.

Memory tip: Think of a "free sample" at a store - you get a small portion selected from a larger batch. That small portion is the sample; how many pieces you took is the sample size.

Topics

#sample#sampling#statistics fundamentals

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