Based on the primary hypothesis: the concordance between the actual utilization of different types of HASS versus normative HASS is not better than fair; the statistical hypothesis can be written as H0: Ka = 0.41 against H1: Ka < 0.41, where the kappa value of 0.41 denote the lower boundary of the range of moderate concordance. The one sided hypothesis can be tested using the test statistics z = ( K̂a - 0.4)/s.e(K̂a), where K̂a is the estimated value of kappa from the data table and s.e(K̂a) = σ/√n where n is total sample size and s.e denote the standard error. Note that, the statistics z has an asymptotic normal distribution. Based on the data, the null hypothesis is rejected if z < zα and conclude that corresponding concordance is not better than fair, where zα is the (1-α)th quantile of a standard normal distribution.