5: Sampling Flashcards
What is sampling
A technique that is used when it’s not feasible to test an entire population transactions
What is the objective of sampling
To select a portion of a population so that the characteristics observed will reflect the characteristics of the entire population.
Statistical Sampling or non-judgemental sampling
The IS auditor uses a technique of random selection that will statistically reflect the entire population.
Nonstatistical sampling or Judgmental sampling
The IS auditor judgmentally and subjectively selects sample based on established criteria such as risk or materiality
Attribute sampling
A technique used to study the characteristics of a given population to answer the questions “how many”.
What sampling leads to attribute sampling
A statistical sampling
Variable sampling
A technique used to statistically determine the characteristic of a given population to answer the question”How much”
Stop-or-go sampling
This technique is used to permit sampling to stop at the earliest possible time.
Discovery sampling
This technique is used when an IS auditor is trying to find at least one exception in a population.
Stratified sampling
Here, the event population will be divided into classes, or strata, based upon the value of one of the attributes.
Confidence coefficient
Known as the reliability factor or confidence level- it’s expressed as a percentage, as the probability that the sample selected actually represents the TRUE VALUE of the entire population. A confidence coefficient of 95% is considered high.
sampling risk
sampling risk = 1 - Confidence coefficient
precision
This represents how closely the sample represents the entire population.
Low, high precision, small sample
A low precision figure means high accuracy.
A high precision figure means low accuracy.
A smaller sample makes the precision higher,and the risk of exceptions in the entire population is higher.
statistical vs non-statistical sampling
Statistical sampling is objective
Non-statistical sampling is subjective