Question

The 5 year survival rate for a type of cancer is 76%. You conduct research on a treatment for this cancer and find that for the 96 cancer patients who had this form of cancer and were given this new treatment that after 5 years 80 were still alive.

a) At the .05 level did your new treatment have any effect on the survival rate? (note: p = .092)

b) How do you explain the 6.3% difference in the percentage of surviving based on part a)?

c) The 95% confidence interval for p from the computer is (.7588, .9079) explain this in context of the problem

d) Based on a) is this treatment something you would recommend a patient tries? Explain

e) Interpret the p-value

Answer 1

a)

p = 0.092 > 0.05

So, we fail to reject the claim and conclude taht the survival rate is 76%.

b)

Means from the given survival rate the statistical rate difference is 6.3%

c)

We have 95% confident that the population proportion of Cancer Survival rate will fall with in (0.7588, 0.9079)

d)

As we fail to reject the Claim means we can not recommand the new treatment because we don't/confident about the result.

e)

p- value(0.092) is greater than 0.05.so, we have enough evidence to support the claim that cancer survival rate is 76%

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