16.4 Two scholars are locked in debate regarding the interpretation of the accompanying data. One insists that the relationship between the age of a child and the child’s perception of the parents is very strong; the other argues that no relationship exists. Why do the two scholars reach different conclusions? Analyze the table and resolve the dilemma. Is there a relationship between the age of a child and the child’s perception of the parents?
Age of Child (Years) |
||
Child’s Perception of Parents |
5–15 |
16–27 |
Negative |
11% |
53% |
Neutral |
18% |
27% |
Positive |
71% |
20% |
Total |
100% |
100% |
let us consider null and alternative hypothesis
Ho: there is no relationship between the age of a child and the child’s perception of the parents.
Ha:there a relationship between the age of a child and the child’s perception of the parents.
Chi-Square Test | ||||||
Observed Frequencies | ||||||
age of child | Calculations | |||||
child's perception of parents | 5 to 15 | 16 to 27 | Total | fo-fe | ||
negative | 11 | 53 | 64 | -21 | 21 | |
neutral | 18 | 27 | 45 | -4.5 | 4.5 | |
positive | 71 | 20 | 91 | 25.5 | -25.5 | |
Total | 100 | 100 | 200 | |||
Expected Frequencies | ||||||
age of child | ||||||
child's perception of parents | 5 to 15 | 16 to 27 | Total | (fo-fe)^2/fe | ||
negative | 32 | 32 | 64 | 13.78125 | 13.78125 | |
neutral | 22.5 | 22.5 | 45 | 0.9 | 0.9 | |
positive | 45.5 | 45.5 | 91 | 14.29121 | 14.29121 | |
Total | 100 | 100 | 200 | |||
Data | ||||||
Level of Significance | 0.05 | |||||
Number of Rows | 3 | |||||
Number of Columns | 2 | |||||
Degrees of Freedom | 2 | |||||
Results | ||||||
Critical Value | 5.991465 | |||||
Chi-Square Test Statistic | 57.94492 | |||||
p-Value | 2.61E-13 | |||||
Reject the null hypothesis |
the value of chi-square test is 57.94492
the p-value of chi-square test is 0.0000
since p value is very small so we reject H0 and conclude that chi square test
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