1.If there is no seasonal effect on people getting sick, we would expect equal numbers of people getting sick in each season (winter, spring, summer and fall). A student takes a census of students who took Marketing Research in 2019 and finds that of the 280 students who took Marketing Research in 2019, 75 were sick in winter, 65 were sick in spring, 68 were sick in summer and 72 were sick in fall. She wonders if the excess in the winter is an indication that sickness rates are not uniform throughout the year.

a.Develop H0 and H1,

b.Calculate the value (outline all your calculations! Do not just write the final result.),

c.Indicate whether the associated p-value is significant and why, and

d.indicate which hypothesis you "go with" and interpret the results.