Online Program
Saturday, February 20  
PS3 Poster Session 3 & Continental Breakfast sponsored by Capital One 
Sat, Feb 20, 8:00 AM  9:15 AM
Ballroom Foyer 
Sample Size Calculations Using Techniques from Power Analysis (303273)Gavin Minh Pham, Southern Methodist University Darwin Deason Institute for Cyber SecurityJosh Rendon, Southern Methodist University Darwin Deason Institute for Cyber Security *Micah Thornton, Southern Methodist University Darwin Deason Institute for Cyber Security Mitch Thornton, Southern Methodist University Darwin Deason Institute for Cyber Security Keywords: Computer Engineering, Computer Science, Cyber, Security, Defense, Power Analysis, Hypothesis Testing, Automization When the population of elements is extremely large and individual samples taken only on the order of hundreds of times per second, the sample size required for statistical significance becomes extremely important. In this study, after selecting which hypothesis tests are going to be used, a power analysis is performed on each test to determine the optimal number of samples required to achieve the maximum power for each test. To this end, both the effect size, sample size, and significance level are varied and 3dimensional plots are produced. These plots represent how effective it is to increase the sample size when using each of these tests. We are able to calculate a useful number that provides a comfortable certainty that the sample size is large enough to place confidence in the testing framework. Specifically this analysis is applied to the Student's T twosample hypothesis test and the chisquare goodnessoffit test. The technique discussed in this poster can be generalized, and automated to allow for automatic sampling subroutines to be formulated. The result of this analysis is a software system that automatically determines appropriate sample size based on power analysis.
