00:01
So we are testing a null hypothesis that the population proportion is greater than or equal to 0 .54 versus the alternative hypothesis that the population proportion is less than 0 .54.
00:19
We have a sample of 400 observations with 212 successes.
00:27
So our sample proportion then is x over n which is 212 divided by 400 and that is equal to 0 .53.
00:48
The first thing we want to do is calculate our test statistic which is standard normal z equal to p hat minus the null hypothesis proportion divided by the square root of the null hypothesis proportion times 1 minus that divided by n.
01:07
So this is equal to 0 .53 minus 0 .54 divided by the square root of 0 .54, 1 minus that is 0 .46 divided by 400.
01:25
So this then is equal to 0 .55 by the square root of 0 .54 times 0 .46 divided by 400.
01:40
Close my parenthesis.
01:42
The z value is negative 0 .40.
01:53
And let's see here.
01:55
The final answer two decimal places, okay we have that.
01:58
For part two we want to find the p value.
02:02
While we are doing a left sided test, so the p value is the probability that our test statistic is less than or equal to what we observed, 0 .40.
02:14
And that we can look up in a standard normal table, 4 .0.
02:20
So this probability is 0 .3446.
02:28
And let's see here.
02:44
It's a multiple choice.
02:46
P value less than 0 .05, no.
02:50
Between 0 .05 and 0 .1, no...