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3. Insulation workers. Twenty-six cancer deaths were observed in a cohort of 556 insulation workers. Based on national statistics, a cohort of this size and

3. Insulation workers. Twenty-six cancer deaths were observed in a cohort of 556 insulation workers. Based on national statistics, a cohort of this size and age distribution was expected to experience 14.4 incident cases during the observation period. Therefore, under the null hypothesis, p = Po = 14.4/556 = 0.02590. Test whether the observed incidence is significantly greater than expected. Show all hypothesis-testing steps.

Compare the actual cancer deaths for insulation workers to the expected deaths from cancer. Find the Sample Proportion, p-hat = ?

Test to determine if p=hat is significantly different from Po = 0.0259?

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: ?

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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