Q1. Chi-Squared Test Dr. X swears he's been seeing more diabetic patients through his clinic this month (Jan) compared to last (Dec) and he's asked for stats help to double-check "if it's statistically different." A data manager pulled the total patients seen in the clinic and the count of patients that were diabetic for you and already put it into the below grid: December N=134 January N=126 Diabetic Patients 42 (31.3%) 50 (39.7%) a) What is the null hypothesis? b) Using a significance level of 0.05, what conclusion do you draw from the p-value of testing the hypothesis? c) If we were to tell Dr. X that in fact yes, he has seen more/a higher proportion of patients in January, what's the probability we're accepting that this result is seen but the null is still true?