Assume that we are given a dataset that includes two attributes, neighbourhoods of residency and person's professional division. There is a society of 1000 residents with two neighbourhoods, P, and Q. A random sample of 310 residents of the society is taken whose occupations are doctors, engineers and teachers. The null hypothesis is that each person's neighbourhood of residency is independent of the person's professional division. The data are categorized as: X2 (chi-square) test: Let's tabulate the given information and calculate and fill the required values. After you calculate the final value of the chi-square formula. Please go to the table below to estimate the p-value and decide whether you are going to accept or reject the null hypothesis. Choose a correct answer: A. Accept the null hypothesis B. Reject the null hypothesis Table The chi-square distribution table with three probability levels is provided here. The statistic here is used to examine whether distributions of certain variables vary from one another. The categorical variable will produce data in the categories and numerical variables will produce data in numerical form. In this case, the degree of freedom is 5