1) For a binomial experiment:
Find the sample size required to estimate if you want the estimate to be within 0.01 with 95% confidence.
Round your answer to the next larger integer.
2) For a binomial experiment:
According to a poll, 78% of residents are in favor of a new rec centre. Find the sample size required to estimate the true proportion of residents who are in favor if you want the estimate to be within 0.07 with 95% confidence.
Round your answer up to the next larger integer.
3) For a binomial probability:
A company claims 3% of their switches will be defective. A large contractor wishes to find out if that is true, it was found that 9 of 180 tested were defective.
Determine the test statistic used to perform a hypothesis test regarding this claim with 90% confidence.
Answer to 2 decimal places.
1)
here margin of error E = | 0.010 | |
for95% CI crtiical Z = | 1.960 | from excel:normsinv((1+0.95)/2) |
estimated prop.=p= | 0.500 | |
sample size n= p*(1-p)*(z/E)2= | 9604 | (rounding up) |
2)
here margin of error E = | 0.070 | |
for95% CI crtiical Z = | 1.960 | from excel:normsinv((1+0.95)/2) |
estimated prop.=p= | 0.780 | |
sample size n= p*(1-p)*(z/E)2= | 135 | (rounding up) |
3)
sample success x = | 9 | |
sample size n = | 180 | |
std error σp =√(p*(1-p)/n) = | 0.0127 | |
sample prop p̂ = x/n=9/180= | 0.0500 | |
test statistic z =(p̂-p)/σp=(0.05-0.03)/0.013= | 1.57 |
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