00:01
So for your hypothesis, you would be assuming that the mean, i assume this is the number of chip, you want to result in a decrease in food intake or having the stimulus.
00:12
So i'm going to have this be the stimulus, and this is going to end up being the no stimulus.
00:18
And we're going to assume that they're equal, and alternately that the stimulus will decrease the number that they will eat.
00:27
And so we have the two sample t tests that we will end up performing and for your information let's see it says what level what probability level will you choose and why so i'm going to use an alpha level of 0 .05 because that's pretty standard might even be able to use something with this small sample sample size, maybe even a 10%.
00:56
But that's what i'm going to use.
00:57
Now, the degrees of freedom, the degrees of freedom, i'm going to use what the pooled says for the degrees of freedom as an approximation.
01:09
We don't have very large sample sizes, and we have quite a bit of standard deviation, quite a bit of variability, i should say.
01:17
And so if we use this level, this would give us that first sample size is a size of 8 and the second sample size is of 6 so we would roughly say that we have 12 degrees of freedom and let's see what your next question is and is there a significant difference between the two testing conditions and we would have hopefully simple random samples and we we are supposed to have approximately normal distributions.
01:52
And this is very small.
01:53
So i would be very careful on this.
01:57
So for this setup, this two -sample t -test, our test statistic would end up being a t value.
02:07
And again, i'm going to say that we approximately have 12 degrees of freedom...