Answer:
The 92% confidence interval for the true proportion of customers who click on ads on their smartphones is (0.3336, 0.5064).
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
For this problem, we have that:

92% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
The lower limit of this interval is:

The upper limit of this interval is:

The 92% confidence interval for the true proportion of customers who click on ads on their smartphones is (0.3336, 0.5064).
Step-by-step explanation:
Given:
and 
We can solve for f(x) by writing

Let 

Then


We know that f(0) = 0 so we can find the value for k:

Therefore,

Answer:
ok im convuzed how do you buy a 90ft tree cuz that sounds fun
Step-by-step explanation:
pls lemme know
Answer: non random and biased. Random and un biased
Step-by-step explanation:
Just answered it
82 total clients
2 did NOT get a checkup
(82 - 2) = 80 clients DID get a checkup
80/82 = 0.97561 = <em>97.561%</em> of your clients have had their checkup.
Interestingly, that's the exact same percentage of your clients who have had lunch. Perhaps ... I'm not stating this as a fact, but it's a hunch ... just maybe the other two have not had their checkups yet because they are out getting lunch.