Developing Hypothesis and
understanding Possible Conclusion
for Proportions (Q&A) Latest Update
, Week 7 Assignment- Developing Hypothesis and understanding Possible Conclusion for
Proportions
Identify the null and alternative hypotheses for an experiment with one population proportion
Question
Devin is a researcher for a pharmaceutical company testing whether a new
prescription pain medication causes patients to develop nausea. The medication
would have to be scrapped if more than 6% of patients who take the medication
develop nausea on a regular basis. Devin randomly selected 461 patients for a
clinical trial of the medication and found that 27 of the patients developed nausea
on a regular basis. What are the null and alternative hypotheses for this hypothesis
test? { H0:p=0.06Ha:p>0.06
First verify whether all of the conditions have been met. Let p be the population
proportion for patients taking the medication who develop nausea on a regular
basis.
1. Since there are two independent outcomes for each trial, the proportion
follows a binomial model.
2. The question states that the sample was collected randomly.
3. The expected number of successes, np=27.66, and the expected number
of failures, nq=n(1−p)=433.34, are both greater than or equal to 5.
Since Devin is trying to determine whether more than 6% of the patients taking
the medication develop nausea on a regular basis, the null hypothesis is that p is
equal to 0.06 and the alternative hypothesis is that p is greater than 0.06. The
null and alternative hypotheses are shown below.
{ H0:p=0.06Ha:p>0.06
Great work! That's correct.
Compute the value of the test statistic (z-value) for a hypothesis test for proportion
Question
A college professor claims that the proportion of students passing a statistics
course is 80%. To test this claim, a random sample of 250 students who previously
took the course is taken and it is determined that 221 students passed the course.
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