Automated Sampling

Provides the building blocks for automated sampling. It takes a sample data set and determines the correct sample size using three different approaches: statistical methods, sampling guidelines, or a static sample size.

Input Requirements

• Any data file you wish to gather a sample from.

• Z-Score table: Currently setup with a standard Z-score associated with most all confidence levels.

• Parameters

  1. Sample % of Population: Percent total of population you wish to sample.

  2. Minimum Sample Size: Minimum amount the sample size must be.

  3. Target Sample Size: The target sample amount you are aiming to achieve.

  4. Confidence Level: Confidence interval used for Z-Score.

  5. Tolerable Error Rate: Your tolerable error rate used for statistical sample size calculation.

  6. Expected Error Rate: Your expected error rate used for statistical sample size calculation.

Output Expectations

• A percent total of your population as a true random sample.

• A true random sample with the size dictated as the lesser of your target or sample percent of population, but not less than your minimum sample size.

• A true random sample with the size dictated by a statistical calculation.