Question 13 Marks
The I.Q.'s (intelligence quotients) of 16 students from one area of a city showed a mean of 107 with a standard deviation of 10 while the I.Q.'s of 14 students from another area of the city showed a mean of 112 with a standard deviation of 8. Is there a significant difference between the I.Q.’s of the two groups at
i. $1\%$
ii. $5\%$ level of significance?
i. $1\%$
ii. $5\%$ level of significance?
Answer
View full question & answer→Performing independent samples t-test,not assuming equal variances.
Assumptions: both populations must be normal.
The null hypothesis: the mean IQs are equal.
The alternative hypothesis: the mean IQs are different.
Degrees of freedom: df= min(N1, N2) - 1 = 13
The standard error:
$SE =\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}=\sqrt{\frac{10^2}{16}+\frac{8^2}{14}}=3.2896$
The test statistics:
$t =\frac{\left(\bar{X}_1-\bar{X}_2\right)-0}{S E}=\frac{107-112}{3.2896}=-1.52$
The two-tailed cumulative probability value associated with the given t-statistic can be determined from the Student’s t-distribution table or calculated using the technology (function T.DIST.2T() of MS Excel).
For df = 13 and t = -1.52, p = 0.152
Since the p-value is greater than both $\alpha$ values, fail to reject the null hypothesis at both significance levels.
The samples do not provide sufficient evidence to conclude the difference between the mean IQs.
Assumptions: both populations must be normal.
The null hypothesis: the mean IQs are equal.
The alternative hypothesis: the mean IQs are different.
Degrees of freedom: df= min(N1, N2) - 1 = 13
The standard error:
$SE =\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}=\sqrt{\frac{10^2}{16}+\frac{8^2}{14}}=3.2896$
The test statistics:
$t =\frac{\left(\bar{X}_1-\bar{X}_2\right)-0}{S E}=\frac{107-112}{3.2896}=-1.52$
The two-tailed cumulative probability value associated with the given t-statistic can be determined from the Student’s t-distribution table or calculated using the technology (function T.DIST.2T() of MS Excel).
For df = 13 and t = -1.52, p = 0.152
Since the p-value is greater than both $\alpha$ values, fail to reject the null hypothesis at both significance levels.
The samples do not provide sufficient evidence to conclude the difference between the mean IQs.




