The percentage of students taking state assessment tests was compared for samples of schools at 4 different levels: elementary, elementary/middle, middle, and high school.
a. Use notation to write the null hypothesis.
b. Should the means 98.10 to 90.55 be identified as to , or m1 to m4?
c. Should the standard deviations be identified as s1 to s4, or s1 to s4?
d. As far as the sample means are concerned, what relationship do you see between percentage taking the test and level of school?
e. Tell which level of school you would expect to have the lowest rate of truancy (failure to attend).
f. Which level should have the highest rate of truancy?
g. Explain how the different levels of truancy could have impacted percentages taking the tests.
h. Explain why the assumptions of ANOVA, which require equal population standard deviations, should not be made in this situation.