Hi all,

please i have only one question and I can finish my qestions exam which isdue to morrow,Please , I beg you to help me.

Q: The P - value in not the probility that Ho is true given the data . Here is an example: Suppose it is mandated that all newborn babies undergo screening for muscular dystrophy using a heel stick blood test for creatinine phosphokinase (CPK).This test has 100% sensitive (ie., of babies with muscular dystrophy willk test positive) and 99.98% specificity (ie., of babies without muscular dystrophy , 99.98% will test negative and 0.02% will test positive. The incidence of muscular dystrophy at birth is rare -a rough estimate would be ,say, 1 in 5000. Now for a randomly selected newborn , let us test the null hypothesis Ho that the baby does not have muscular dystrophy against the alternative Ho that the baby does have muscular dystrophy. The data cosists of the CPK test result.

(a) If the decision is to reject Ho when the test is positive , convince yourself (based on the definition of a P-value ) that the value is 0.02%=0.0002.

(b) Show that given a positive test result , in fact the probability that Ho is true is 50%( Hint :Construct a 2x2 table that shows how many babies (out of, say,100,000) would be fall into each (disease status x test result) category).

Hence, even when the P-value is near zero , the probability that the null hypothesis is true given the data can be quite high.

Appreciated your response

Cheers

Keith

please i have only one question and I can finish my qestions exam which isdue to morrow,Please , I beg you to help me.

Q: The P - value in not the probility that Ho is true given the data . Here is an example: Suppose it is mandated that all newborn babies undergo screening for muscular dystrophy using a heel stick blood test for creatinine phosphokinase (CPK).This test has 100% sensitive (ie., of babies with muscular dystrophy willk test positive) and 99.98% specificity (ie., of babies without muscular dystrophy , 99.98% will test negative and 0.02% will test positive. The incidence of muscular dystrophy at birth is rare -a rough estimate would be ,say, 1 in 5000. Now for a randomly selected newborn , let us test the null hypothesis Ho that the baby does not have muscular dystrophy against the alternative Ho that the baby does have muscular dystrophy. The data cosists of the CPK test result.

(a) If the decision is to reject Ho when the test is positive , convince yourself (based on the definition of a P-value ) that the value is 0.02%=0.0002.

(b) Show that given a positive test result , in fact the probability that Ho is true is 50%( Hint :Construct a 2x2 table that shows how many babies (out of, say,100,000) would be fall into each (disease status x test result) category).

Hence, even when the P-value is near zero , the probability that the null hypothesis is true given the data can be quite high.

Appreciated your response

Cheers

Keith

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