My Reading on ASQ CQA HB Part V Part 2
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<strong>Part</strong> VE<br />
Simple random<br />
Simple random sampling ensures that each item in the populati<strong>on</strong> has an equal chance of being selected.<br />
Random number tables and computer programs can help make the sample selecti<strong>on</strong>s.<br />
Systematic sampling<br />
Systematic sampling also ensures that each item in the populati<strong>on</strong> has an equal chance of being selected. The<br />
difference here is that after the sample size is determined, it is divided into the total populati<strong>on</strong> size to<br />
determine the sampling interval (for example, every third item). The starting point is determined using a<br />
random number table. Several computer programs are available to help determine the sample size, the<br />
sampling interval, the starting point, and the actual samples to be evaluated.<br />
Reporting<br />
It’s not difficult to plug numbers into a formula and calculate the results. Management likes to work with<br />
numbers that have meaning and that put boundaries around a questi<strong>on</strong> or an error rate. This is where<br />
statistical sampling comes in. With statistical sampling, auditors can state in the audit reports that ―we have 95<br />
percent c<strong>on</strong>fidence that the purchase orders are being correctly processed.‖ Sample size depends <strong>on</strong><br />
c<strong>on</strong>fidence level and what the auditor wants to determine. Naturally, the larger the sample size, the more<br />
accurate the estimate. For small populati<strong>on</strong>s, the sample size is corrected. Auditing by statistical sampling is<br />
best suited to single-attribute auditing. However, <strong>on</strong>ce the item to be audited has been selected, many<br />
attributes can be checked during the audit. A purchase order has many attributes that can be checked<br />
simultaneously. In this way, <strong>on</strong>e calculati<strong>on</strong> for sample size can be used to report <strong>on</strong> many attributes. Standards<br />
(discussed in the next secti<strong>on</strong>) or statistical formulas should be used to determine the appropriate sample size<br />
given a required c<strong>on</strong>fidence level, such as 95% or 99%.<br />
For more informati<strong>on</strong> c<strong>on</strong>cerning statistical sampling, Dodge- Romig or Bayesian sampling plans, and<br />
binominal distributi<strong>on</strong>s, c<strong>on</strong>sult a comprehensive statistical textbook.<br />
https://www.calculator.net/sample-size-calculator.html?type=1&cl=95&ci=5&pp=10&ps=1000&x=59&y=34<br />
Charlie Ch<strong>on</strong>g/ Fi<strong>on</strong> Zhang