00:01
So our question says that i find the necessary confidence interval for the binomial proportion p.
00:05
Round your answers to three decimal place.
00:07
A 90 % confidence interval of p based on the random sample of n is equals to 500 observations from a binomial population with x is equals to 337 successes is worth.
00:18
Then we are also supposed to interpret our confidence interval.
00:22
So from this question we have our sample size n to be crossed to 500 and we have this x to be cost to 337.
00:30
So that means our sample proportion p -cap is actually going to be cost to 337 divided by 500.
00:37
When we do the match, we have that to be cost to 0 .74.
00:41
So to construct our confidence interval for a single value of population proportion, we have the formula that says p is equal to p -cap plus or minus the critical value times the square root of p -cap, q -cap divided by n.
00:55
Alright, so we need our critical value and we should also know that our q -cap is going to be caused to be caused to the square root of p -cup, we need our q -cap is going to be caused to be cost to the square root of the cost.
01:01
To 1 minus 0 .674 and that gives us 0 .3 to 6.
01:06
So for our critical value we need to know the type of distribution that defines our data sets.
01:12
Take a look at our sample size.
01:14
We have a very large sample size and also a very large number of success.
01:17
So definitely our critical value cv is going to be a z score...