21-PS-Monetary Unit Sampling AS2 V12

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    The Audit Experience AS/2

    Performance SupportMonetary Unit Sampling

    (MUS)

    The information in this performance support is provided to explain Monetary Unit Sampling(MUS) and al! through an example of MUS using the MUS "or!#oo! hile providing tips on

    areas here users of this template sometimes run into trou#le$

    This performance support ill cover the folloing topics (clic! on a lin! to go to the topic)%

    "&AT 'S META*+ U'T SAM,-'.

    &" 0 ' USE T&E MUS "*11

    o .uidance ta#

    o MUS 3alculations ta#

    Step 4% 'nput parameters

    Step 2% Enter the lines of data from the population

    Step 5% ,erform the MUS reconciliation

    o MUS Selections ta#

    WHAT IS MONETA! UNIT SAMP"IN#$

    Monetary Unit Sampling (MUS) is one form of statistical sampling that e use for tests of

    details in our audits$ 't is defined in the 0TT- Audit Approach Manual (AAM) as a statistical

    audit sampling method that can #e applied to a population of items expressed as monetary

    amounts$ The sampling unit is defined as an individual monetary unit6 the li!elihood that an item

    in the population ill #e selected is proportional to the num#er of monetary units contained in

    the item$ asically7 hat this means is that this form of sampling selects items #ased on their

    value6 the higher the value of an item7 the greater the chance of it #eing selected for testing$

    MUS is often used for sampling those populations containing several items (i$e$7 hundreds or

    thousands of individual items ithin the population)$ Using the Sampling 'nterval (,opulation

    divided #y Sample Si8e) as the selection interval in applying Monetary Unit Sampling7

    automatically results in selecting the appropriate num#er of items$ The items selected ill also

    automatically include all items ith amounts individually greater than the sampling interval7 ifany7 and some portion of the smaller items in the population$

    0TT- has created a tool that can assist you hen doing a Monetary Unit Sample called 9MUS

    "or!#oo!$: 't can #e found in most AS/2 pac!s from ;ile7 e 0ocument in your AS/2 audit

    file$

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    This or!#oo! should #e used hen information is o#tained electronically and there are many

    lines of data$ &oever7 since Excel holds only 477?@ lines of information7 if the population

    #eing sampled has more than 477?@ lines of data7 Excel cannot #e used$

    ;urther information on this sampling techniBue is detailed in the AAM Topic?=4< ,erform test

    of details and Topic ?=4

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    T',SD 't is essential to use a #lan! MUS "or!#oo! each time you do Monetary Unit Sampling$

    +ou should not copy a prior years MUS "or!#oo! or use a MUS "or!#oo! from another audit

    section6 this is #ecause a used MUS "or!#oo! may #e outdated or formatted specifically for the

    existing sample (e$g$7 num#er of ros)$ 't is much easier to start your Monetary Unit Sample

    ith a ne MUS "or!#oo! each time$

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    MUS Calculations tab

    The MUS calculations ta# is the first place you ill #e reBuired to input data$

    Step 1: Input parameters

    "hen in the MUS 3alculations ta#7 you must start #y completing the first item discussed in the

    .uidance ta#7 shon #elo%

    'nput parameters (;inancial Statement Account7 ,opulation7 Sample Si8e7 and *andom Start

    um#er) in the top section (ensure the *andom Start um#er is a ,S'T'FE num#er and not

    greater than the sampling interval)$

    "ithin the MUS 3alculations ta#7 you ill need to enter the folloing% ;inancial statement

    account7 ,opulation7 Sample Si8e and random start num#er$ See #elo for an illustration$

    What is the random start number?

    The random start num#er is any positive num#er you select #eteen 8ero and the Sampling

    'nterval$ This num#er needs to #e selected at random and selection method should #e

    documented ithin your or!ing papers$ "e ordinarily use a random num#er generator to

    determine this num#er$ Excel has a random num#er generator function #y using the folloing

    formula%

    G*A0ET"EE(#ottom num#er7 top num#er)

    ;or example7 entering into a cellG*A0ET"EE(474

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    ith a random num#er #utton7 a ta#le of random num#ers7 or selecting num#ers from the serial

    num#er of a currency note may #e used$

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    Step 2: Enter the lines of data from the population

    ,ress the 9Add *os: #utton in the top section and enter the num#er of lines of data in your

    population$ The necessary num#er of ros ill #e automatically inserted$ (,-EASE TE

    -+ ,S'T'FE 'TEMS S&U-0 E '3-U0E0 ' T&E ,,U-AT'$ A--

    E.AT'FE 'TEMS S&U-0 E *EMFE0 ;*M T&E ,,U-AT' A0 TESTE0

    SE,A*ATE-+)$

    3opy the data from your population file and paste it in the hite cells that ere inserted$ The

    data should not #e more than three columns ide$ Typical data fields include '0 um#er7

    0escription7 and Amount$

    efore you enter the lines of data7 you must prepare the data to enter it into the or!sheet$

    Ensure there are only three columns of data and determine the num#er of ros of data you have$

    4 #tain the data

    This depends on the population related to the ris! you are testing$ Example populations may #e%

    A detail of customers and their account #alances for testing the ris!s identified in

    accounts receiva#le$

    A chec! register of payments made for testing the ris!s identified in accounts paya#le or

    #an! reconciliation$

    A detail of payroll expenses #y employee$

    ;or more information on populations7 refer to ,erformance SupportCTests of 0etails$

    2 Manipulate the data for input

    "hatever population you use to address the ris! #eing tested7 you must #e sure to use only

    the positive items in the population$ egative items must #e removed and tested separately$

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    ;or example7 if you are testing the ris!s identified in accounts receiva#le and there are certain

    customers that have credit #alances7 they must #e removed from the population in order for

    the MUS sample to or! accurately$

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    ext7 determine the columns that ill #e input into the or!sheet since the data cannot #e

    more than three columns ide$

    elo is an example of accounts receiva#le detail that could #e used for testing the ris!s

    identified$

    5 Add ros needed

    o you need to determine the num#er of ros reBuired in the or!sheet$ As illustrated earlier7

    the or!sheet has only four ros at the moment and you are li!ely to have more than four ros

    of data$ To continue ith the example of inventory7 #elo is the data that as used to ma!e

    selections for inventory testing to test the ris!s identified$

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    As you can see7 there are many lines of data7 =< ros to #e exact$ +ou need to copy each line of

    data into the MUS "or!#oo! in the hite area previously shon$ efore you can do this7 you

    need to add ros$

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    Ho do !ou add ros?

    As shon a#ove7 you need to select the HAdd *osH #utton on the or!sheet and enter the

    num#er of lines of data in your population file$

    Add the num#er of ros you need (as shon a#ove) and you ill #e ready to copy the data$

    (+ou can even add a fe extra ros Iust to #e on the safe sideD)

    = 3opy the data

    nce you have entered the correct num#er of ros7 copy the data from your population file7 and

    paste it into the hite cell area that you Iust created$ "hen copying data%

    Ma!e sure the data you ant to copy is no more than three columns ide$ 't should

    typically contain an '0 um#er7 0escription7 and Amount$

    ,ut the first line of data into the first ro of hite cells next to 'tem J4$

    0o not copy column headings or the total hen you copy data$ nly the individual data

    lines should #e copied to the hite cells in this ta#$

    "atch for hidden columns or ros in the population file$

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    "hen you have copied the data7 your ta# should loo! li!e this%

    Step ": #erform the MUS $econciliation%

    The o#Iective of the MUS *econciliation is to determine hether the correct num#ers of sample

    selections ere made$ 'f the correct sample selections ere made7 the MUS *econciliation ill

    #alance$ 'f the reconciliation does not #alance7 it is important to revie the parameters and

    calculated sample si8e to determine hat is causing the difference$

    What is the MUS $econciliation?

    After you have copied the data as shon a#ove and the selection process is completed7 you must

    perform MUS reconciliation$ The o#Iective of the reconciliation is to determine hether the

    correct num#er of sample selections as made$ The MUS reconciliation is on the #ottom left

    hand side of the MUS 3alculationsC;igure ?=4

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    Accidently deleting/entering information in the grey area of the or!sheet$

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    nce the MUS reconciliation #alances7 press the 9*etrieve Selections: #utton in order to

    automatically list the selections on the 9MUS Selections: ta#$

    MUS Selections tab

    nce you hit the *etrieve Selections #utton%After pressing the 9*etrieve Selections: #utton on

    the MUS 3alculations ta#7 the selections ill #e automatically listed on this ta#$

    3onfirm the total num#er of selections provided is the same num#er calculated on the MUS

    3alculations Ta#$ 'f the num#ers are not the same7 revie the information to identify the

    difference$

    +ou should see the folloing selections appear on the MUS Selections ta#$

    nce your selections are made7 you are ready to #egin testing$ otice ho all items L samplinginterval are automatically selected for testing$

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    Will the number of selections ala!s be 1 item per selection?

    The anser to this Buestion is no$ 't as mentioned earlier that the 4 next to this num#er in the

    9um#er of Selections: column shos that this is 4 of the ? selections reBuired in the sample

    si8e$ 't as mentioned that this might have #een a 27 57 or other positive num#er$ 'f it ere a 27

    that means that this item ould count as 2 selections$ 'f it ere a 57 this item ould count as 5

    selections$ 'n Monetary Unit Sampling7 4 item does not alays mean 4 selection$

    ;or example7 assume the total num#er of selections as @ instead of the ? that you have seen in

    this example$ Assume that the folloing items ere shon in the MUS Selections ta#%

    Will the sample si&e calculated in the MUS Wor'boo' ala!s be the same as hen

    calculated manuall!?

    o7 not alaysD This is #ecause the MUS "or!#oo! uses a random start num#er and selection

    remainder$ 0epending on your random start num#er7 you might get a different sample si8e to test

    to address the ris! identified$ +our num#er of selections ill alays #e the same #ut as some

    selections count for more than one selection the actual num#er of items you get to test may vary$

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    ote that this performance support does not replace the AAM$ 't should #e read in conIunction

    ith the applica#le AAM topics7 as the manual states the reBuirements of our audit approach and

    it provides further guidance$

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