0. General
Sampling 대상
Risk assessment (x)
TOC ( observation x, inspection 0, inquiry x, reperformance x)
ST ( AP x, TOD balance 0, transaction x)
Non-statistical / statistical sampling
Both involve judgment in planning,executing, evaluating the results of the sample
Both provide sufficient, competent evidential matter
Non-sampling risk/ Sampling risk
Non-sampling risk
failure to select appropriate audit procedures
failure to recognize misstatement in documents examined
Misinterpret results of audit tests
Sampling risk
TOC | ST | |
Efficiency | the risk of underreliance | the risk of incorrect rejection |
Effectiveness | the risk of overreliance | the risk of incorrect acceptance |
type | Attribute sampling % | Variable sampling $ (PPS, classical) |
1. Statistical(attribute) sampling step for test of controls (%, rate)
Determine Sample Size
1) Allowable risk of overreliance (sampling risk)
- 샘플링을 하기 때문에 생기는 위험
- Inverse relationship with sample size 샘플링을 안하는것과 가까워지면(전체테스트) 위험이 줄어든다
2) Tolerable deviation rate(TDR)
- Maximum rate of deviation auditor is willing to accept
- Inverse relationship with sample size
>>>> auditor deciedes 1),2)
3) Expected population deviation rate
- Estimation of deviation rate in an entire population, 오류가 있을 가능성
- Direct relationship with sample size
4) Population size
- Direct relationship with sample size
>>> 주어지는 요소
Evaluate the Sample results
1) Calculate the sample deviation rate
sample deviation rate = number of deviations found in the sample
2) Determine the upper deviation limit(rate)
Upper deviation limit = Sample deviation rate + allowances for sampling risk
*auditor not able to test the control as planned, nor alternative procedure > deviation from the prescribed control
>>> UDL <= TDR: CR adequate
2. Statistical(Variables) Sampling steps for test of details ($, amount)
- identify individually significant items
Determine sample size
1) Acceptable level of risk of incorrect acceptance
- sampling risk
- inverse relationship w sample size
2) Tolerable misstatement
- preliminary materality amount
- inverse relationship with sample size
3) Expected amount of misstatement
- Estimate of misstatements in the entire population
4) Population size
Evaluate the sample results
1) Calculate projected misstatement
2) Determine the upper limit on misstatement
Upper limit on misstatement = Projected misstatement + allowance for sampling risk
>>> UDM <= TM: support conclusion
Classical variable Sampling / PPS
Classical variable Sampling | PPS(dollar unit sampling) |
sampling unit: physical unit | sampling unit: monetary unit |
Test for over / understatement | Test for overstatement |
individually significant items is not automaticaly selected | individually significant items, automatically selcted |
estimation of standard deviation in amount is required to determine sample size |
no requirement for estimation of standard deviation |
inclusion of zero, negative balance possible | inclusion of zero, negative balance not possible |
easy to expand sample size | difficult to expand sample size |
smaller sample size, many misstatements | smaller sample size, little misstatements |
easy to use |
Classical
# of accoount | Book value | Audit value | |
Population | 4100 | 5M | ? |
Sample | 200 | 250K | 300K |
1) Ratio estimation sampling (value)
* effective when audit amounts correlates between (proportional to) book values
250k:300k = 5M: x
x =6M
2) MPU (units)
200:4100 = 300k:x
x=6150k
3) Diff (units)
300-250=50K
200:100=4100:x , x = 1025K
? = 5M-1025K
PPS
- Interval 보다 작을경우 projection 해야함, 클경우 그대로 가져옴
- Taining = diff/recorded amount
1) Interval =Tolerate M / *Reliability Factor
* risk of incorrect acceptance can be specified
2) Sample size = Total reported Amount / Sampling Interval (roundup)
* stratification interval큰숫자합 + interval작은 숫자합
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