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State Plan AR FY26 - Original Submission Page of 52 112 total population size, confidence level, and margin of error. • Adjust for Expected Non-Response or Incomplete Data: Increase the calculated sample size by a contingency factor to account for anticipated non-responses, ineligible cases, or incomplete records. • Review Resource Constraints: Consider practical limitations such as available staff time, budget, and data accessibility, and adjust the sample size accordingly while maintaining statistical validity. • Finalize Caseload Size: Confirm the final sample size balancing statistical requirements and operational feasibility. Document the methodology and rationale for the selected sample size. • Extract the Sample: Use the finalized caseload size to randomly select participants from the population dataset using the established random sampling method. What are the computations of sample intervals and random starts used for the random sample? The SNAP E&T management team currently uses a online free application to generate random numbers for the selection of the cases that will be reviewed. We will be doing monthly reviews so we will be looking at the total number of participants, determine the number of reviews that will be required and then generate the random number samples to choose our cases to review. Describe how time scheduled for each step in the sampling procedure was used for the random sample. The random samples pulled by the SNAP E&T management team is not a huge issue to pull. We will be pulling a random sample each month based on the providers’ current case load to ensure cases are reviewed and if issues are being noted. If issues arise in the reviews then the number of the sample will increase to help determine the underlying reason for the discovered issues.