The article compares two methods for handling sample size in chi-square tests of fit. One method adjusts the sample size in the analysis, while the other uses a random sample approach. The study found that for sample sizes around 5,000, both methods work similarly well. However, for smaller sample sizes, the adjusted sample size method tends to exaggerate fit and underestimate misfit compared to the random sample approach. Despite differences in chi-square values, the conclusions based on p-values may remain the same.