00:01
All right, so we have the average fruit fly will lay 387 eggs into broading fruit.
00:06
And the biologist wants to see if the average will be greater for flies that have a certain gene modified.
00:12
And here's the data.
00:13
This shows the number of eggs that were laid into broading fruit by several fruit flies that had this gene modified.
00:19
And we're assuming the distribution of population is normal.
00:21
That's great.
00:22
Because this is going to allow us to use the t test.
00:30
And which is great.
00:35
So we want to know what can be concluded at the alpha .05 level of significance.
00:43
So for this study, we should use the t test.
00:45
So that's there for a.
00:48
Should use the t test.
00:52
And the reason for that is because we have a small sample size and we don't know the population's standard deviation.
00:57
And because the population is assumed to be normal, we can use the t test because we do have a small sample size.
01:04
But because the population is normal, it's okay.
01:07
We can use it.
01:09
If we didn't know that we'd have to do something else but or get a larger sample size but it all fits for our key test.
01:17
For b, the null and alternative hypotheses would be, all right, let's do this.
01:21
So we've got the null alternative.
01:33
All right so the null, let's see, would be that the mean is equal to 387.
01:40
The alternative would be the mean is not equal to 387.
01:42
The alternative would be the mean is not equal to 387.
01:46
And then see the test statistic is going to be a t that's the t equals now we're going to need to calculate it out so we this is the t statistic or how we calculate that is so we take our we need to figure this out actually we need to figure out our mean of the data and our sample standard deviation equals average equals sample standardation make sure you do this sample of the population standard deviation let's see we're doing to three decimal places so the means isn't that big of a deal but we'll modify our standard deviation so 389 we'll use that number 389 minus 37 we're going to divide that by the stem deviation value which is 10 .922 third of the sample size which is see you've got one two 2, 3, 5, 6, 7, 8, 9, 10, 11, 12.
03:09
There's our test statistic, our p value.
03:12
If 4 decimal places, what's that .8722.
03:24
The p value, i'm going to use a table, so p value.
03:31
So let's see.
03:36
0 .87 and there are, we need to our degrees of freedom.
03:42
There is going to be 12 minus 1, so 11 degrees of freedom.
03:46
So to go to our degrees of freedom column here in the table, which is 11, you'll notice that these values, this is the, or the p values, needs to be like your cutoff values.
04:02
But notice we have 0 .8722, which is going to be kind of over here on the left.
04:09
And if we look at these are the p values associated with these given t values.
04:14
Let me go here...