a college prep school advertises that their students are more prepared to succeed in college than other schools. to verify this, they categorize gpa's into 4 groups and look up the proportion of students at a state college in each category. they find that 7% have a 0-0.99, 21% have a 1-1.99, 37% have a 2-2.99, and 35% have a 3-4.00 in gpa. they then take a random sample of 200 of their graduates at the state college and find that 19 has a 0-0.99, 28 have a 1-1.99, 82 have a 2-2.99, and 71 have a 3-4.00. can they conclude that the grades of their graduates are distributed differently than the general population at the school? test at the 0.05 level of significance.

Respuesta :

Answer:

Yes, they can conclude that the grades of their graduates are distributed differently than the general population at the school. This is because the test statistic, chi-squared, is greater than the critical value, which is 7.81. This means that the difference between the observed and expected frequencies is statistically significant.

Step-by-step explanation:

ACCESS MORE
EDU ACCESS
Universidad de Mexico