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Published byGriffin Garrett Modified over 9 years ago
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SAI India September 2011
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Sampling is used by SAI-India extensively in ◦ Financial Audit ◦ Compliance Audit ◦ Performance Audit
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Planning – selection of units for audit Audit Execution – selection of transactions for detailed scrutiny ◦ Vouchers, contracts, pay bills/ pay bill items
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Stratification of population into ◦ High value transactions/ auditee units These are generally covered 100 per cent Such coverage facilitates providing necessary audit assurance ◦ Other transactions/ auditee units Statistical sampling or Non-statistical / judgemental sampling
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Statistical sampling ◦ Generally where transactions are computerised ◦ Simple Random Sampling/ Stratified Random Sampling/ Attribute Sampling/ Monetary Unit Sampling (MUS)/ multi-stage or cluster sampling Non-statistical sampling ◦ Followed in majority of cases, where transactions are not computerised ◦ Judgement, based upon past experience, perception of effectiveness of internal controls, risk etc.
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To form an opinion on the population as a whole ◦ Scope for extrapolation of sample results across population ◦ Extensively used in audit of Central Government receipts State Government receipts not computerised to the same extent ◦ Used to a lesser extent in audit of expenditure
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Simple Random Sampling ◦ Commonly used to select invoices, contracts, payroll items (computerised or manual) using random number table/ IDEA ◦ Results extrapolated only in qualitative terms Not generally quantified More commonly implemented as Stratified Random Sampling ◦ Also used for attribute sampling (especially for IT audits) in addition to variable sampling E.g. has the payment been properly authorised or not?
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Stratify transactions into broad strata Select all high value items – 100 per cent Others selected at random from various strata with smaller value strata forming fewer samples
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100 per cent check of high value items & negative balance items For other strata, different percentages of check (random selection), depending on monetary value ◦ Since there are a multiplicity of checks to be performed, we do not derive sample size based on targeted confidence levels (90/ 95 per cent)
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Probability of selection of an item is proportionate to its value (e.g. invoice/ contract value) ◦ Higher the contract value/ tax assessment, higher the probability of selection Used in Central revenue audits, and other audits, involving computerised selection
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Traditionally used for “test check” purposes, where 100 per cent population cannot be analysed Often implemented through selection of transactions for 2 months, out of the whole year’s transactions ◦ Generally, March is selected as one of the months More transactions/ payment value Higher risk Tendency to exhaust budgetary appropriations before lapse Adjustment entries before closure of accounts
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Multi-stage/ cluster sampling approach adopted ◦ State/ Province ◦ District ◦ Block/ Mandal ◦ Gram Panchayat/ Other Unit ◦ Works/ Transactions
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State of Andhra Pradesh One component – Medical Infrastructure ◦ Lowest level – sub-centres Population of 2,000/ 3,000 ◦ Primary Health Centres (PHCs) Population of 20,000 ◦ Community Health Centres Population of 80,000 ◦ District Hospitals ◦ Speciality Hospitals
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Audit focus ◦ Health Centres infrastructure – existence, usability Ambulance Electricity / Stand-by Power Supply Water Supply + Water storage Separate wards and toilets for male and female patients Waiting rooms Telephone Accommodation for staff/ attendants Other rooms (In-Patient/ Out-Patient Areas, Operation Theatres, Labour (Gynaec) Room etc.) as prescribed for each level Equipment for OT
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◦ Medicines Adequate stock of prescribed medicines at each level Cold chain ◦ Manpower Doctors (lady doctors separately), nurses, helpers ◦ Patient-bed ratio ◦ Laboratory services (diagnostic + radiological services) ◦ Emergency services
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State Level – Policy & Planning District Level ◦ Judgemental selection Most backward and most forward districts (based on HDI) Expenditure incurred on medical health Risk perception Complaints, media reports, past ARs etc. Regional balance within State
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Within district ◦ 1/3 of Community Health Centres Judgemental/ random selection Under CHCs ◦ 1/3 of PHCs Judgemental/ Random selection Under PHCs ◦ 1/3 of SCs Random selection
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Quantitative extrapolation across entire population not done Percentage of sample not conforming to requirements (e.g. prescribed medical infrastructure parameters) indicated No attempt to project sample results across the larger population Multiplicity of parameters Unlike receipt audit (under-assessment/ over-assessment of tax on a case)
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