A Statistic's teacher claims that on average 15% of All students get a grade of A, 35% get a B, 30% get a C, 15% get a D, and 5% get an F. The grades of 80 students were recorded and the following table shows the results. Grades Observed A B C D F Observed A = 13 B = 25 C = 22 D = 13 F =7 Suppose the distribution claimed by teacher is to be tested using a Goodness of Fit Test.A) What would be the null hypothesis, H .3? B] What would be the alternative hypothesis, H 1 ? C) if the distribution is the same as claim, how many B's would you expect? D) it the distribution is the same as claim, how many C's would you expect? E} What is the Chi squared value for test? F} What is the pyalue? G) Should the null hypothesis be rejected based on p-yalue? "yes" or "no" H) is there enough evidence to conclude the distribution is different than that which is claimed by teacher? "yes\" or "no" Choose... Choose... Choose... Choose... Choose... Choose... Choose... Choose... Choose.. 25 0.03 27 0.57 The distribution is the same as what is claimed by teacher. 1.2 28 yes 0.12 30 33 0.01 5.8 22