Attributes Sampling Flashcards
List the eight steps in attributes sampling plan.
- )Identify sampling objective.
- )Define what constitutes an occurrence.
- )Identify relevant population.
- )Determine sampling method.
- )Determine sample size.
- )Select the sample.
- )Evaluate results.
- )Document sampling procedures.
List the two sampling approaches acceptable for statistical sampling applications.
Random
Systematic
Define “random sampling.”
Sampling methodology where each item in the population has the same probability of being selected
Define “systematic sampling.”
Sampling methodology whereby every nth item in the population is chosen as part of the sample (usually with a random starting point)
List the two sampling approaches normally associated with judgmental (nonstatistical) sampling applications.
Block
Haphazard
Define “block sampling.”
Sampling methodology where a group of contiguous items are selected (e.g., selecting all transactions for the month of June)
Define “haphazard sampling.”
Sampling methodology where items are selected arbitrarily with no conscious biases
List the factors that directly relate to sample size.
- )Expected error rate
2. )Population size—not explicitly considered in attributes sampling
List the factors that are inversely related to sample size.
- )Tolerable error rate
- )Risk of overreliance; Type II error
- )Risk of underreliance
What is the formula for the observed deviation rate for the sample?
(No. errors in the sample) / Sample size
List the three factors, as indicated by AICPA tables, that determine sample size for an attributes sampling application.
- )Expected error rate (related to the variation in population)
- )Tolerable error rate (related to precision)
- )Risk of over-reliance (Type II error rate)