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Kidney cancer survival. An oncologist treats 40 kidney cancer cases. Sixteen of the cases survive at least 5 years. Historically, one in five cases were

Kidney cancer survival. An oncologist treats 40 kidney cancer cases. Sixteen of the cases survive at least 5 years. Historically, one in five cases were expected to survive this long. Test whether there has been a significant improvement in survival

Compare the kidney cancer survival rate to the historical survival rate.

Find the sample proportion, p-hat: ?

Test to determine if p-hat is significantly different from Po = 0.20?

State the hypothesis:

Ho : Po = ?

Ha: Po # or > ?

Choose your confidence level: ?

Find the significance level : ?

Using Po, find the Standard Error: SE = ?

Find the Zstat value: Zstat = ?

Using table B, find the corresponding p-value

(do you have to subtract the value in Table B from 1?)

(remember to multiply by the number of tails)

p= ?

Based on "if p < ", would you reject or not reject Ho?

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