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using chapter 13 data set 2, the researchers want to find out whether there is a...

using chapter 13 data set 2, the researchers want to find out whether there is a difference among the graduation rates (and these are percentages) of five high schools over a 10-year period. Is there? (hint: are the years a factor?)

High School 1 High School 2 High School 3 High School 4 High School 5
2003 67 82 94 65 88
2004 68 87 78 65 87
2005 65 83 81 45 86
2006 68 73 76 57 88
2007 67 77 75 68 89
2008 71 74 81 76 87
2009 78 76 79 77 81
2010 76 78 89 72 78
2011 72 76 76 69 89
2012 77 86 77 58 87

Solutions

Expert Solution

We will conduct one-way ANOVA test to find out whether there is a difference among the graduation rates of five high schools over a 10-year period.

For the given problem,

Experimental Unit - Students of High schools
Response variable - Graduation rates
Factor - High Schools (Year is not a factor here. It is replicate or samples for each high school)
Levels of factor - High School 1, High School 2, High School 3, High School 4, High School 5

Null hypotheses H0 : The average graduation rate is equal across all high schools.

Alternative hypotheses H1 : At least one average graduation rate is different for a high school.

We assume, Level of significance = 0.05

Degree of freedom of group = Number of level - 1 = 5 - 1 = 4

Degree of freedom of error = Number of observations - Number of level = 5 * 10 - 5 = 45

Critical value of F at DF = 4, 45 is 2.58

d.

Source DF SS MS F
Group 4 2733.28 683.32 17.728
Error 45 1734.5 38.54444
Total 49 4467.78

Let Ti be the total graduation rate for high school i, ni be number of observations of high school i.

Let G be the total graduation rate of all observations and N be total number of observations.

X2 is sum of squares for all the observations.

T1 = 709, T2 = 792 , T3 = 806, T4 = 652, T5 = 860

G = 709 + 792 + 806 + 652 + 860 = 3819

X2 = 50465 + 62948 + 65310 + 43362 + 74078 = 296163

SST = X2 - G2/N = 296163 - 38192/50 = 4467.78

SSTR = T2/n - G2/N = (7092 /10 + 7922 /10 + 8062 /10 + 6522 /10 + 8602 /10  ) - 38192/50 = 2733.28

SSE = 4467.78 - 2733.28 = 1734.5

MSTR = SSTR / Df for group = 2733.28 / 4 = 683.32

MSE = SSE / Df for error = 1734.5 / 45 = 38.54444

F = MSTR / MSE = 683.32/ 38.54444 = 17.728

As, the observed value of F (17.728) is greater than the critical value (2.58), we reject the null hypothesis and conclude that the at least one average graduation rate is different for a high school. Thus, there is significant evidence that there is a difference among the graduation rates of five high schools over a 10-year period


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