Question

2. 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

Answer:-

Given That:-

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)

p = 0.092 > 0.05

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

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

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

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

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

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

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

e) Interpret the p-value

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

Plz like it.....,