Question

In: Statistics and Probability

Question 3 In a study conducted on 335 primary school students in a small district in...

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

Solutions

Expert Solution

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


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