00:01
Number one, consider a simple poll that is measuring the proportion of citizens that hold a particular political belief.
00:08
What is a conservative worst -case scenario sample size if you want the margin of error to be 4 .8 %? well, let's assume that we're talking about 95 % confidence interval level.
00:20
So we take 0 .048 equal to 1 .96 times the square root of 0 .5 times 0 .5 over our unknown sample size.
00:30
So that means our sample is going to be 416 .8, which we would round up to 417.
00:36
Now if you, if there's missing information here and you have a different confidence interval, that's going to impact your critical value and may change that number, or will change that number if it impacts that.
00:48
Question two, deandre in st.
00:50
Louis is conducting a study to see if the probability of contracting a new virus strain this year is significantly more than 0 .19 at a significance level of 0 .001.
00:59
Deandre obtains a relevant sample of size 170 in which there are 38 people who contracted the new virus strain this year.
01:06
Perform an appropriate hypothesis test to help deandre make a statistically correct conclusion.
01:13
So our null hypothesis is that p is equal to 0 .19 versus our alternative that p is greater than 0 .19.
01:23
And our z -test statistic is going to be 38 divided by 170, which is 0 .22 minus 0 .19 over the square root of 0 .19 times 0 .81 divided by 170.
01:40
And that gives us a test statistic of 1 .11 with a p -value of 0 .1326...