Question

At a clover city council meeting, a plan to fund more sign language programs was presented. the reasoning behind the request was that less than 25% of parents with hearing-impaired children have the ability to pass a sign-language exam. if this is true, the council will agree to fund more programs for these parents. the council decides to take a 175-person volunteer sample of parents in clover city that have children with auditory issues and conduct a significance test for h0: p = 0.25 and ha: p < 0.25, where p is the proportion of these parents that can pass the sign language exam. they will perform the significance test at a significance level of ? = 0.05 for the hypotheses.

part a: describe a type ii error that could occur. what impact could this error have on the situation?

part b: out of the 175 volunteer parents of children with hearing problems, 54 passed, resulting in a p-value of 0.96. what can you conclude from this p-value given the data of the 175 parents is sufficient to perform a significance test for the hypotheses?

part c: what possible defect in the study can you find in part b? explain

Answer 1

The type II error is the probability of accepting the null hypothesis when it's false.

How to explain the probability?

a. From the information, the proportion of parents who passes the sign language test is not less than 25%.

b. Since the p value is greater than 0.05, the null hypothesis is rejected. Therefore, the proportion of parents who passes the sign language test is not less than 25%.

c. The possible defect in the study is that the parents if the children with hearing problem should be selected randomly.

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