Final answer:
To conduct a goodness of fit test at the 5% level, compare the observed frequencies with the expected frequencies to determine if the self-reported sub-groups of Asians are evenly distributed.
Step-by-step explanation:
To conduct a goodness of fit test at the 5% level, we need to compare the observed frequencies with the expected frequencies. The null hypothesis is that the self-reported sub-groups of Asians are evenly distributed. The alternative hypothesis is that the self-reported sub-groups of Asians are not evenly distributed.
- Calculate the expected frequency for each sub-group by multiplying the proportion of Asians in the total population by the total number of Asians.
- Calculate the chi-square test statistic using the formula: ∑((observed frequency - expected frequency)^2 / expected frequency).
- Compare the calculated chi-square test statistic with the critical value from the chi-square distribution table at a significance level of 0.05.
- If the calculated chi-square test statistic is greater than the critical value, reject the null hypothesis and conclude that the self-reported sub-groups of Asians are not evenly distributed. If the calculated chi-square test statistic is less than or equal to the critical value, fail to reject the null hypothesis and conclude that the self-reported sub-groups of Asians are evenly distributed.