a)
| sample success x = | 123 | ||
| sample size n= | 1130.0 | ||
| pt estiamte p̂ =x/n= | 0.10885 | ||
| se= √(p*(1-p)/n) = | 0.0093 | ||
| for 95 % CI value of z= | 1.960 | from excel:normsinv((1+0.95)/2) | |
| margin of error E=z*std error = | 0.018 | |
| lower bound=p̂ -E = | 0.091 | |
| Upper bound=p̂ +E = | 0.127 | |
| from above 95% confidence interval for population proportion =(9.1 % ,12.7 %) | ||
b)

c)

d)
Do the mass mailing (since interval values are above 5%)
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(d) Mark all of the following that correctly describe
the confidence LEVEL, or the "long-run" interpretation of "95%
confidence"
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