In: Statistics and Probability
Question 3
In a study conducted on 335 primary school students in a small district in Malaysia, students at primary levels 4-6 were asked which goal in terms of good grades, athletic ability or popularity (being popular in school) was most important to them. A two-way table (Table 3.1) separating the students by their educational levels and goals is shown below:
Table 3.1
Primary Level |
||||
Goals Grades Popular Sports Total |
4 |
5 |
6 |
Total |
49 |
50 |
69 |
168 |
|
24 |
36 |
38 |
98 |
|
19 |
22 |
28 |
69 |
|
92 |
108 |
135 |
335 |
a. To investigate possible differences among the students' goals by educational levels, a researcher suggested that it is useful to compute the column percentages. You are required to compute the column percentages and explain the meaning of these percentages. Do the results suggest that there is much of a variation in goals across the three educational levels?
b. The dataset from the same study now divides the students' responses into "Urban," "Suburban," and "Rural" school areas as shown in Table 3.2.You are required to conduct a Chi-Squared test to investigate whether there is an association between school area and the students' goals of getting good grades, athletic ability or popularity as most important to them?
Table 3.2
School Area |
||||
Goals Grades Popular Sports Total |
Rural |
Suburban |
Urban |
Total |
57 |
87 |
24 |
168 |
|
50 |
42 |
6 |
98 |
|
42 |
22 |
5 |
69 |
|
149 |
151 |
35 |
335 |
a)
Goals | 4 | 5 | 6 |
Grades | 53.26% | 46.30% | 51.11% |
Popular | 26.09% | 33.33% | 28.15% |
Sports | 20.65% | 20.37% | 20.74% |
yes, there is much of a variation in goals across the three educational levels
b)
Chi-Square Test of independence | |||||||
Observed Frequencies | |||||||
0 | |||||||
0 | rural | suburban | urban | Total | |||
Grades | 57 | 87 | 24 | 168 | |||
Popular | 50 | 42 | 6 | 98 | |||
Sports | 42 | 22 | 5 | 69 | |||
Total | 149 | 151 | 35 | 335 | |||
Expected frequency of a cell = sum of row*sum of column / total sum | |||||||
Expected Frequencies | |||||||
rural | suburban | urban | Total | ||||
Grades | 149*168/335=74.722 | 151*168/335=75.725 | 35*168/335=17.552 | 168 | |||
Popular | 149*98/335=43.588 | 151*98/335=44.173 | 35*98/335=10.239 | 98 | |||
Sports | 149*69/335=30.69 | 151*69/335=31.101 | 35*69/335=7.209 | 69 | |||
Total | 149 | 151 | 35 | 335 | |||
(fo-fe)^2/fe | |||||||
Grades | 4.2033 | 1.6787 | 2.369 | ||||
Popular | 0.9432 | 0.1069 | 1.755 | ||||
Sports | 4.1684 | 2.6634 | 0.6769 |
Chi-Square Test Statistic,χ² = Σ(fo-fe)^2/fe =
18.564
Level of Significance = 0.05
Number of Rows = 3
Number of Columns = 3
Degrees of Freedom=(#row - 1)(#column -1) = (3- 1 ) * ( 3- 1 )
= 4
p-Value = 0.0010 [Excel
function: =CHISQ.DIST.RT(χ²,df) ]
Decision: p-value < α , Reject
Ho
there is an association between school area and the students' goals of getting good grades, athletic ability or popularity as most important to them