Chi Square Test H0. That means the row and the column variables of the contingency table are independent. Since 14 3 is greater than 9 49 we reject h 0.
The chi square test allows you to estimate whether two variables are associated or related by a function in simple words it explains the level of independence shared by two categorical variables. If the p value for the test comes out to be strictly greater than the alpha value then h0 holds true. Next we prepare a similar table of calculated or expected values.
There is no association between the two variables.
The variables are independent there is no relationship between the two categorical variables. The chi square test is used to check how well the observed values for a given distribution fits with the distribution when the variables are independent. Apgar scores and patient outcome are not independent. The chi square test allows you to estimate whether two variables are associated or related by a function in simple words it explains the level of independence shared by two categorical variables.
