00:01
All right, so on this one, it gives us a simulated sampling distribution.
00:05
And you can see that with the dot plot that's given.
00:08
So each dot represents a sample of size five.
00:12
It tells us that our population is normally distributed with a mean of eight ounces and a standard deviation of 0 .54 ounces.
00:24
And then basically what they did is they took that population and they took a sample size of 5, 100 times and each of those dots represents one sample of size 5 the mean of that sample and then it says is there convincing evidence that the mean weight of hamburgers is less than eight ounces so our alternate our null hypothesis is that the average is eight and then our alternate hypothesis is we're looking for evidence is it less than eight and if we look at our simulation we can count up the number of dots that are less than eight, which we have one, two, three, four, five, six, eight, nine, ten, eleven, twelve, thirteen, fourteen, fifteen, sixteen, seventeen, seventeen, seventeen, fifteen, nineteen, twenty, twenty, twenty two, three, twenty five, twenty two, three, three, three, three, three, three, three, three, three, three, four, thirty -six, three, thirty -eight, thirty nine, forty, it looks like about about forty -two of them are less than eight.
01:28
So what we're doing here is we're basically, calculating a p value from a simulation.
01:34
And it's hard for me to see the dot plot from what i'm looking at right now.
01:37
But it looks like there's about eight, what did i say? about 42 of our 100 are less than eight ounces.
01:51
I'm counting up all the dots to the left of eight, which is 0 .42.
01:56
That is not a low probability.
02:00
And again, my counting might be a little bit of...