FINAL EXAM COPY Flashcards
Purpose: To estimate characteristic of group without complete examination of all items constituting the group.
Sampling
Definition: A technique or methodology for (1) Determining Sample Size (2) selecting items to be tested and of (3) evaluating the results of the test on the basis of mathematical laws of probability.
Statistical Sampling
Definition: Technique for selecting sample size that is not calculated. Ex: “Go pick a few”
Non-Statistical Sampling
Sampling Technique: Selection of a sample from a population of items in such a manner that each item in the population has an equal chance of being chosen for examination. 1. Random number table or random number generators are generally used for applying this selection approach.
2. Population items must be numbered.
Random sampling
Sampling Technique: sample items are selected according to some predetermined fixed interval (selection of every nth item). The first sample item is selected at random thus establishing the sequential pattern. 1. Population items should be arranged in random order or the auditor should use multiple random starts.
2. Population items do not need to be numbered.
Systematic Selection
Sampling Technique: Population is divided into classes or strata which are more homogeneous than the population as a whole. 1. Generally used to control variability in the population and reduce sample size.
2. Enables auditor to relate sample selection to materiality.
Stratified Selection
risks due to factors not related to sampling. Failure to recognize error in a document or transaction or failure to apply appropriate audit procedures.
Nonsampling Risk
2 step process in sampling a population
Project population, adjust for Sampling Risk
Important Concepts: Concerned with “How Much” or Dollar Amounts – Primarily used in substantive testing
Record (or Dollar) Sampling
Important Concepts: Concerned with “How Many” – Used to “Test (Internal) Controls” – Are controls working?
Attribute Sampling
Risk of incorrect Acceptance: in a test of internal controls, it is the risk that the sample supports a conclusion that the control is operating effectively when, in fact, it is not operating effectively. Same as beta.
Type II – This is the one to AVOID.
Risk of incorrect Rejection: in a test of internal controls, it is the risk that the sample supports a conclusion that the control is not operating effectively when, in fact, it is operating effectively (same as alpha from your stat class).
Type I
Important Concepts: Risk that sample is not representative of the population.
Sampling Risk
Important Concepts: Risk that sample is not representative of the population. – Controlled by Sample Size
Sampling Risk
Important Concepts: Selection of every nth item in the population. Used where population items are not numbered
Systematic Selection
Important Concepts: Used to control variability of population and reduce sample size. Divide population into sub-groups reducing variability which is measured by Standard Deviation
Stratification
Important Concepts: Used to audit for OVERSTATEMENT. Used to estimate max amount of Error in population
Dollar Unit Sampling
Important Concepts: Used to measure and control sampling risk. Based on Mathematical Laws of Probability
Statistical Sampling
Sampling Theory: Uses attribute-sampling theory
Monetary-Unit Sampling (MUS)
Sampling Theory: Used for $’s rather than attributes
Monetary-Unit Sampling (MUS)
Sampling Theory: Commonly used to test accounts such as accounts receivable, loans receivable, investment securities, and inventory (all of which are assets)
Monetary-Unit Sampling (MUS)
What is the following factor’s relationship to sample size, Direct or indirect? Desired Confidence Level
Direct, as it decreases, sample size decreases and vice versa
What is the following factor’s relationship to sample size, Direct or indirect? Tolerable Deviation Rate
Inverse, as it decreases, sample size increases
What is the following factor’s relationship to sample size, Direct or indirect? Tolerable Deviation Rate
Inverse, as it decreases, sample size increases