It is claimed that a new treatment is more effective
than the standard treatment for prolonging the
lives of terminal cancer patients. The standard treatment has been
in use for a long time, and from
records in medical journals, the mean survival period is known to
be 4.2 years. The new treatment
is administered to 80 patients and their duration of survival
recorded. The sample mean and the
standard deviation are found to be 4.5 and 1.1 years, respectively.
Answer the following questions.
(a) Define µ in the context of the problem and formulate the null
and alternative hypotheses.
(b) State the Type I and Type II errors for this problem and tell
why Type I error is more serious.
(c) State the Z-test statistic for this problem and tell its
distribution.
(d) Is the small, large or both small and large value of the Z-test
statistic that will lead us to reject
the null hypothesis?
(e) Suppose the significance level is 0.05. Determine the critical
value for the rejection region and
write down the decision rule.
(f) Calculate the value of Z-test statistic from the available
data.
(g) Determine whether or not the null hypothesis is rejected at the
significance level and tell why.
(h) Calculate the P-value and do the hypothesis testing based on
the P-value.
(i) Express the conclusion in the context of the problem, using
common English.
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