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How To Fix Dus Sample Error Projection
If you have Dus Sample Error Projection then we strongly recommend that you download and run this (Dus Sample Error Projection) repair tool.
Symptoms & Summary
Dus Sample Error Projection and other critical errors can occur when your Windows operating system becomes corrupted. Opening programs will be slower and response times will lag. When you have multiple applications running, you may experience crashes and freezes. There can be numerous causes of this error including excessive startup entries, registry errors, hardware/RAM decline, fragmented files, unnecessary or redundant program installations and so on.
In order to fix your error, it is recommended that you download the 'Dus Sample Error Projection Repair Tool'. This is an advanced optimization tool that can repair all the problems that are slowing your computer down. You will also dramatically improve the speed of your machine when you address all the problems just mentioned.
Recommended: In order to repair your system and Dus Sample Error Projection, download and run Reimage. This repair tool will locate, identify, and fix thousands of Windows errors. Your computer should also run faster and smoother after using this software.
File Size 746 KB
Compatible Windows XP, Vista, 7 (32/64 bit), 8 (32/64 bit), 8.1 (32/64 bit) Windows 10 (32/64 bit)
Backup Risk Management Solutions AuditSampler Contact Us ← Attributes Sampling AuditSampler Statistical SamplingSoftware → Monetary Unit Sampling Posted on April 15, 2014 by cplusglobal Monetary Unit Sampling (MUS), monetary unit sampling example also known as probability proportional-to-size sampling (PPS) or dollar unit sampling (DUS), is monetary unit sampling excel a statistical sampling method used to determine the accuracy of financial account balances. Each individual dollar (i.e. monetary unit) monetary unit sampling wikipedia in an account balance is considered a sampling unit, thus accounts in the population with a higher balance have a proportionately higher chance of being selected. MUS is designed to provide
conclusion in relation to monetary value i.e. "Based on the sample results, we are 95% confident that the amount of misstatement in the financial statements would not exceed $X (i.e. the precision/materiality limit). It is usually used for substantive tests of account balances such as accounts receivable, fixed assets and inventory. Determine MUS sample size The sample size can be determined by using monetary unit sampling aicpa MUS sampling tables (e.g. AICPA audit guide sampling tables) or statistical audit sampling software. The inputs required are: Population Value (PV): the book value or monetary value of the population. Tolerable Misstatement (TM): the tolerable margin of error or precision for the sample estimate of the population value (i.e. precision/materiality limit). Expected Misstatement (EM): the expected amount of misstatement in the population value. Confidence Level (CL): the level of assurance required (i.e. complement of risk of incorrect acceptance). Assuming: PV=50Million, TM=1.5Million, EM=150K and CL=75% Determine the Confidence Factor from the MUS sampling table below: ⇒ Ratio of Expected-to-Tolerable Misstatement (EM/TM) = 0.10 ⇒ Match to the Confidence Level of 75% (i.e. 25% Risk of Incorrect Acceptance) ⇒ MUS confidence factor = 1.61 Calculate the sample size using the MUS formula : Sample Size = Confidence Factor × (PV/TM) = 1.61 × (50,000,000/1,500,000) = 53.67 = 54 (round-up) If statistical audit sampling software is used (e.g. AuditSampler), the MUS confidence factor for the sample size calculation would be computed numerically based on the cumulative Poisson Distribution formula. Select Sample Items Sample items are selected from the population based on value we
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Write Course Advice Refer your Friends Earn MoneyLearn More > Upload Documents Apply for Scholarship Create Q&A pairs Become a Tutor Are you an educator? Log in Sign up Home Humber https://cplusglobal.wordpress.com/2014/04/15/monetary-unit-sampling-mus/ ACCT ACCT 651 3air_im20 2035 smaller dus sample size varies inversely with SCHOOL Humber COURSE TITLE ACCT 651 TYPE Homework Help UPLOADED BY yorkstudyaids PAGES 46 Click to edit the document details This preview shows pages 8–10. Sign up to view the full content. View Full Document 20.35 Smaller. DUS sample size varies inversely with the amount of tolerable misstatement. 20.36 The identification https://www.coursehero.com/file/p6oi86h/2035-Smaller-DUS-sample-size-varies-inversely-with-the-amount-of-tolerable/ of individually significant logical units in an account balance has the effect of reducing the size of the recorded amount population for dollar-unit (DUS) sampling. The individually significant units are removed for 100% audit, and the remainder is the population to be sampled. 20.37 When a $1 unit is selected at random, it "hooks" the logical unit that contains it, making the logical unit the object of the audit. Since larger logical units have more $1-units in them, they are more likely to be chosen in the sample, thus producing a dollar total for the sample larger than the dollar total that would be obtained in an unrestricted random sample in which the logical unit was the sampling unit (because in the latter case, the smaller logical units would have an equally likely chance of selection). 20.38 When two dollar units for the sample fall in the same logical unit, the logical unit is "selected twice." When results are evaluated, any error taint in this logical unit is counted twice. 20.39 Audit of $600,000 with sample of 100. ASI = $6,000. Calculate the UEL at vario
a Person with Given Background...How Smooth Your Loan Closing Will Be Is Directly Proportional to How...MORAL HAZARD IN THE CONTEXT OF PROBABILITY OF SURVIVAL Home Business & Finance Fraud and fraud detection < Prev CONTENTS Next > Statistical Sampling Methods There are three basic types http://academlib.com/13399/business_finance/statistical_sampling_methods of sampling methods that auditors may use. The choice of methods depends on the main purpose of the sample and substantive test. Probability Proportional-to-Size Sampling (PPS) This method is used to estimate the total monetary amount of potential misstatement in a population. PPS uses monetary unit sampling (MUS) or dollar unit sampling (DUS). While other methods are based on occurrences or number of records, this method is based on dollar values where the monetary unit higher monetary value transactions have a higher likelihood of being chosen in a sample. MUS is similar to systematic sampling, but where systematic sampling may sample every thousandth record, MUS will sample every thousandth dollar. It is typically used to determine the accuracy of financial accounts, where size is the most important factor, and where errors are expected to be few and far between. MUS provides a substantive assessment of error or misstatement in monetary unit sampling dollar figures and is specifically designed to predict overall error. MUS should be used when: - The process audited is well established and known to be reliable. - The likelihood of errors (misstatements) is low. - Obtaining a small sample size is important. - You want to target larger dollar transactions, and expect to see some spikes in the data. Performing MUS sampling involves the following steps. Planning - Determine the objectives of the exercise. - Define the population. - Define what a misstatement means. - Determine sample size, using the following: - Confidence level. A percentage value comfort level that the sample will be representative and that you have the capabilities to interpret the results correctly. - Tolerable error. The point of no return past which you would no longer have faith in the process audited, nor the validity of the sample. - Expected error. The amount of errors or misstatements that are reasonably expected in a population. Performing MUS Sampling Procedures - Select the samples. - Perform the audit procedures. - Record and analyze any errors observed. Evaluation - Create a projected misstatement by summarizing errors and extrapolating these across population. - Compare ranges of the projected misstatement against the tolerable error limit. - Draw final conclusions. As seen in Figure 4.7, IDEA will simplify allNo related pages.
There are many reasons why Dus Sample Error Projection happen, including having malware, spyware, or programs not installing properly. You can have all kinds of system conflicts, registry errors, and Active X errors. Reimage specializes in Windows repair. It scans and diagnoses, then repairs, your damaged PC with technology that not only fixes your Windows Operating System, but also reverses the damage already done with a full database of replacement files.
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Windows Operating Systems:
Compatible with Windows XP, Vista, Windows 7 (32 and 64 bit), Windows 8 & 8.1 (32 and 64 bit), Windows 10 (32/64 bit).