Question
1000 students at college level were graded according to their IQ levels and the economic condition of their parents, as follow:
| Economic condition | IQ level | ||
| High | Low | Total | |
| Rich | 230 | 170 | 400 |
| Poor | 230 | 130 | 600 |
|
Total | 700 | 300 | 1000 |
Test the hypothesis that the IQ levels are independent of the economic conditions at
1% level of significance
Answer :
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To test the hypothesis that IQ levels are independent of the economic condition of parents, we can use the Chi-square test for independence. The null hypothesis (H₀) assumes that IQ levels are independent of the economic condition, while the alternative hypothesis (H₁) assumes that they are dependent.
Step 1: State the observed frequencies
The observed frequency table is:
| Economic Condition | High IQ | Low IQ | Total |
|---|---|---|---|
| Rich | 230 | 170 | 400 |
| Poor | 230 | 130 | 600 |
| Total | 700 | 300 | 1000 |
Step 2: Calculate expected frequencies
The expected frequency
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