Cards to remember Flashcards

1
Q

mean per unit estimation to determine point estimate

A

(total audited value / number of items audited from population) * total population of items

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2
Q

ratio estimation to determine point estimate

A

(audited value of sample / book value of sample) * total book value of acct balance

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3
Q

difference point estimation to determine point estimate

A

1) projected error = (book value of sample - audited value of sample)/number of items audited * population of items

2) point estimate = total book value of population - projected error

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4
Q

incentive/pressure

A

incentive is a reason to commit fraud. Pressure is from outside or inside sources to prompt someone to commit fraud to meet expectations

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5
Q

opportunity

A

allows a misrepresentation to occur, such as known deficiencies of internal control

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6
Q

rationalization/attitudes

A

rationalization is where employee has a mindset to justify misrepresentation. Attitudes can be that mgmt disregards lack of internal controls or deficiencies to meet certain goals

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7
Q

misappropriation of assets

A

the theft of the entity’s assets

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8
Q

fraudulent financial reporting

A

involves intentional misstatements, such as omission of amts or disclosures in F/S to deceive F/S users

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9
Q

why is it important to review repair and maintenance expense?

A

because there could be errors in accidentally expensing PP&E when they should actually be capitalized and treated as additions

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10
Q

why is it important to look at sales returns?

A

to substantiate mgmt claims of increasing sales, where if there are large sales returns, it actually means that company shipped more goods before year end than what customers actually ordered (to inflate sales)

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11
Q

assessing control risk too low

A

auditor believes controls are on the whole operating effectively when they really are not

-refer to effectiveness of audit

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12
Q

assessing control risk too high

A

auditor believes controls are not operating effectively when they really are

-refer to efficiency of audit

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13
Q

risk of incorrect acceptance

A

auditor believes the sample supports the conclusion that the account balance is not materially misstated when it is

-refer to effectiveness of audit

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14
Q

risk of incorrect rejection

A

auditor believes the sample supports the conclusion that the account balance is materially misstated when it is not

-refer to efficiency of audit

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15
Q

attribute sampling

A

type of statistical sampling that measures rate of occurrence of a particular characteristic. Deals with yes or no questions and sometimes used to test internal controls

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16
Q

tolerable deviation rate

A

the maximum rate of deviation from a prescribed procedure auditor willing to accept without modifying reliance on control

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17
Q

sample deviation rate

A

used to estimate the amount of errors in the population

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18
Q

expected deviation rate

A

auditor’s best estimate of rate of deviation from a prescribed control procedure. If do not expect great number of deviations, okay with smaller sample size

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19
Q

upper deviation rate calc

A

sample deviation rate + allowance for sampling risk

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20
Q

if the upper deviation rate is less than or equal to the tolerable deviation rate…

A

auditor can rely on control and vice versa

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21
Q

what does the auditor do if upper deviation rate is greater than tolerable deviation rate?

A

1) select and test compliance with some other identified control
OR
2) modify nature, extent, or timing of related substantive tests to reflect reduced reliance

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22
Q

variables sampling

A

a statistical sampling method used primarily in substantive testing to estimate numerical measurement of a population, like dollar value

-gain reasonableness of monetary amounts

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23
Q

stratification

A

sample items separated into homogeneous groups and these groups are treated as separate populations and generally results in reduced sample sizes. Generally used for highly variable recorded amts

24
Q

projected misstatement

A

an estimate of the total error in a population based on errors found in a sample taken from population

25
if total projected misstatement is less than tolerable misstatement...
there is an acceptably low sampling risk that monetary misstatement > tolerable misstatement vice versa
26
mean per unit estimation
a sampling plan that uses the average value of items in sample to estimate true population value and doesn't use book value
27
ratio estimation
uses ratio of audited values of items to their book values to project true population value
28
difference estimation
uses average difference between audited values of items and their book values to project actual population value. Used when differences not nearly proportional to book values
29
PPS (probability proportional to size) sampling
sampling unit defined as an individual dollar in population. Once dollar is selected, entire account is audited. It's a hybrid method that applies attribute sampling to reach a conclusion in dollar amts instead of rate of occurrence
30
advantages of PPS sampling
1) emphasizes larger items by stratifying sample. Chance of item being selected is proportional to dollar amt 2) if no errors are expected, PPS sampling requires smaller sample than other methods
31
disadvantages of PPS sampling
zero balances, negative balances, and understated balances generally require special design considerations
32
how is the sample size determined for PPS sampling?
1) divide total number of dollars in pop. (book value) into homogenous groups 2) select unit for sampling interval 3) determine sample size
33
sampling interval calc
tolerable misstatement/reliability factor
34
sample size
recorded amt of population/sampling interval
35
reliability factors correspond to...
risk of incorrect acceptance
36
PPS sample selection
have a random starting number and go up every sample interval amt, which will be amt selected to test
37
PPS evaluation calc
1) (recorded amt - audit amt)/recorded amt 2) percentage amt calculated in step 1 * sample interval = projected error
38
audit data analytics
help auditor analyze and review both financial and nonfinancial data to discover patterns, relationships, and anomalies in audit can use for risk assessment procedures, test of controls, substantive procedures and in conclusion of overall audit
39
descriptive analytics
is the what happened ex. summary statistics and binning (frequency distribution)
40
diagnostic analytics
is the why it happened ex. clustering drill down and drill through analysis data mining and discovery variance analysis period over period analysis data profiling sequence check
41
predictive analytics
is the what will happen in the future based on historical data ex. regression analysis forecasting time-series modeling classification sentiment analysis
42
prescriptive analytics
more advanced and complex and focuses on how to make something happen ex. what if analysis decision support and automation machine learning natural language processing (type of data visualization)
43
assertion level vs financial statement level
AL: risks related to specific account balances, disclosures, and classes of transactions (CVERUP) FL: risks that impact financial statements as a whole
44
What is data lake, data warehouse, data mart, data cubes, databases, tables, and spreadsheets?
Data lake: all structured and unstructured data Data warehouse: structured and organized database tables available for analysis Data mart: subset of database tables used for specific business segments Data cubes: database tables transformed for drilling down Databases: structured tables for specific analysis Tables: single sheet of attributes and records spreadsheets: data files that contain tables and/or other values
45
what is tab-separated text and comma-separated value file?
a way to move data from client's systems to auditor's software without limitation of rows common for spreadsheet tools
46
what is extensible mark up language file?
gives data elements a hierarchical form, contains more metadata or tags about each specific piece of data, and makes data sharing with other audit apps easier
47
what is hypercube file?
allows automated updates of linked audit documentation fields when underlying data changes
48
compressed file?
makes file sharing easier with team members and saves storage space for auditors
49
what is interval scale?
shows each point on a line where zero has no meaning, like temperature or exam score
50
what is ratio scale?
shows numbers on a scale where zero means the absence of something, like inventory count
51
what is nominal scale?
describes categories with no numerical relationship, such as geographical regions or colors
52
what is ordinal scale?
identifies rank or order of data, like income level or job title
53
what is regression analysis?
shows relationships between variables and uses scatter plots
54
what is a variance analysis?
compare forecasted or budgeted values to actual values, such as a bullet chart
55
what is period over period analysis?
comparing financial and nonfinancial values across given periods, like a bar or column chart
56
what is classification analysis?
a predictive analytic that allows auditor to utilize historic data to make predictions about what classes or categories would best fit a new data point, such as scatter plot, pie chart, or tree map
57
what is a trend analysis?
develop expectations of future results, such as line charts