How could you use the test of hypothesis for a difference

Reference no: EM133719865

Discussion Post: Statistics- Spouse to Spouse Kidney Donation

A friend of mine is an abdominal transplant specialist. That is, he specializes in kidney, pancreas and liver transplants. After a few conversations with him, I became interested in the factors that affect the survival rate of transplant recipients.

For example, I read some information that survival is higher for the recipient if the donor was living as opposed to receiving the organ from a cadaver.

Also, I read on one of the pages at this website that kidney transplant survival was higher for a spouse to spouse transfer than for transplants between unrelated persons. As we discuss why statistics are useful in decision-making, what statistics do you think are important to consider as to why the survival rate was higher for spouse to spouse transfer?

Can you find any research that supports this claim or may help understand why this is the case? What other variables do you think should be considered?

How could you use the test of hypothesis for a difference in two proportions (percentages, rates) to establish a null and alternative hypothesis? Define each population and then state what you would test. Which level of significance would you choose? Why?

Reference no: EM133719865

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