Factor

question 3

Multiple Choice

Factor:

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Definitions:

Sampling Error

The error that occurs when the sample selected is not perfectly representative of the whole population, leading to inaccuracies in results.

Alpha and Beta

terms used in statistics where alpha typically represents the level of significance, and beta represents the probability of Type II error in hypothesis testing.

Stratified Random Sampling

A statistical sampling method that divides the population into smaller groups, or strata, and randomly samples from each group to ensure representation across key variables.

Sampling Bias

A systematic error that occurs when a sample is not representative of the population from which it is drawn, leading to skewed and unreliable results.