1.) A back-of-the-envelope calculation for a 95% CI for the
population mean mu is
[xbar - 2*SE , xbar + 2*SE]
where xbar is the sample mean and SE is the standard error
of the sample mean. When xbar = 3.1 and SE 1.5,
what is the left end point of a back-of-the-envelope 95%
confidence interval for the population mean?
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2.) Suppose that 32 of the 1500 people that received an email we sent, clicked on the offer image. What is the estimate for the left end point of a 95% confidence interval for the proportion of people in the population that will click on an offer that we send them? (Round to 3 digits after the decimal point)
1)left end point of a back-of-the-envelope 95% confidence interval for the population mean =3.1-2*1.5 =0.1
2)
sample success x = | 32 | |
sample size n= | 1500 | |
sample proportion p̂ =x/n= | 0.0213 | |
std error se= √(p*(1-p)/n) = | 0.0037 |
estimate for the left end point of a 95% confidence interval for the proportion of people in the population that will click on an offer that we send them =0.0213-2*0.0037 =0.014
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