When the observed values and expected values are close tngether, the chisquare tat value will be small. Then the decisien will be tn not reject the null hvpnmaishence. this is "a good t." See Figure 113la}. When the observed values and the expected values are tar apart, the rJ'Ii-square test value will be large. Then the null l'lvputhesis will be rejected hence, there is "not a good t.&quot