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Given in the question that, Here are results for separate random samples of American and Asian students at a large midwestern university

We need to verify that should we use a chi-square test for homogeneity or a chi-square test of association/independence in this setting.

Let's consider the output:

For the one qualitative variable of two samples, a two-way table was generated. As a result, the chi-square homogeneity test should be used.

Given in the question that, Here are results for separate random samples of American and Asian students at a large midwestern university.

We need to state appropriate hypotheses for performing the type of test chose in part (a)

For the provided test, the proper null and alternative hypotheses may be stated as follows:

$H_0$: There is no connection between the two variables.

$H_a$: A connection exists between two variables.

Given in the question that, Here are results for separate random samples of American and Asian students at a large midwestern university

We need to find that whether the conditions for carrying out the test are met.

The following are the circumstances in this case:

1. A random sample is picked.

2. All of the projected counts are more than five.

3. The sample size is$10\%$lower than the population.

As a result, the required conditions might be considered to be met.

Given in the question that, Here are results for separate random samples of American and Asian students at a large midwestern university

We need to interpret the P-value.

If there is no association between the variables, the probability of having the same or extreme sample is $0.01$percent.

$0.05$is the $p$-value. The null hypothesis is found to be false. Thus, there is adequate evidence to reject the assertion that the two variables are related at the$5$percent significance level.