00:01
So we have a sample of 1 ,658 adults, and 564 of them have heard of the new reader, which means based on our sample, p -hat, or the probability that somebody actually knows of the reader, is 564 out of 1658.
00:25
So 0 .34, so about 34%.
00:27
So about 34%.
00:28
So based on our observation, only 34%, have heard of the reader.
00:37
But we're going to test the claim that it's actually 36 % at the significance level of 0 .05.
00:47
So for part a, this would be two -tailed because our null hypothesis will be that the proportion is 36%.
01:02
Our alternate hypothesis is going to be that it is actually not 36%.
01:08
So that makes it a two -tailed.
01:16
So it could be less that have heard of it, or it could also be more that have heard of it.
01:22
So for letter b to find our z value, and for letter c to find our p value, i'm going to use the calculator.
01:30
And then letter d is your null hypothesis.
01:33
So that null hypothesis is equal to 0 .36, and i believe that's choice number three if i'm reading what you typed in correctly.
01:43
Okay, so going to my calculator, i choose stat, cursor over to test, and then i'm going to choose number five, one prop z test.
01:55
Now my information's already in there.
01:57
Here's the 36%.
01:59
Here's how many in our samples said they knew of the electronic reader.
02:04
Here's the total sample size...