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To demonstrate higher-order conditioning, it is necessary to
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.
Sampling Error
The error caused by observing a sample instead of the whole population, leading to a difference between the sample statistic and the population parameter.
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