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volunteer
that is not typed, so I'm gonna write that on the board.
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student
So, first, sorry, sorry. So first I wanted to like the the way my instructor did it is first we had to figure out the two populations being compared before we stayed the north and the research hypothesis.
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volunteer
Right
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volunteer
OK, so the first population is the people
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volunteer
who are
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volunteer
not tired
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student
So that would be the research hypothesis, ages of one.
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volunteer
Uh, we haven't
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volunteer
we haven't given the hypothesis yet. I'm just writing.
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volunteer
Yeah.
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volunteer
OK, so
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student
Oh no. Oh, I, oh, the, figuring out the populations.
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volunteer
right
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student
Oh.
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volunteer
So we have
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volunteer
so we have new
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volunteer
This is the, the known meme.
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volunteer
is 82
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volunteer
and the
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volunteer
variance
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volunteer
is
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volunteer
when
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student
Oh, so, wait, wait a minute. Hold up. So the 82 is the popular population of the means, right?
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volunteer
uh, it's the, it's the mean of the population of the people who are not tired. So that's the first group. I'm gonna write it here. So first group
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volunteer
we'll call it not tired.
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volunteer
And then the second group
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volunteer
the second group, we got
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volunteer
X bar
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volunteer
the group that is tired
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volunteer
Xar
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volunteer
equals
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volunteer
50
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student
Wait, can you slow down? I'm writing this stuff down.
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volunteer
OK
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student
Yeah, cause I just took an exam over this chapter and intro to hypothesis testing, and it was kind of difficult like the, the problem solving part because my exam is like, OK, we get 50 points on the multiple choice part and 50 points for problem solving, and there were two problem-solving questions both from this chap...
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student
exam, so it was hard for me to grasp, like, the only thing I remember from this chapter is figuring out the upper and the lower limits of the confident intervals.
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volunteer
OK
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student
which is an easy task, like, but it's free, uh, easy because I just had to know my critical values and then multiplied by my um population standard deviation of the means, plus the meat sample meat, like the began.
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volunteer
Right, OK, well, this is what we're gonna be testing. So I'm writing the data here, so it tells us that we have 50 individuals.
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student
So the X is 50.
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volunteer
No, N, N is 50.
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student
Oh, the sample sizes 50.
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volunteer
50, and it tells us that the amine
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volunteer
X bar
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student
Yeah
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volunteer
is 78.
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student
Yeah
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volunteer
Now, it tells us that
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volunteer
the significance level is 0.05. So I'm gonna write that down.
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volunteer
So
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student
So population one was um people who were not tired and population too is people who are tired.
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volunteer
that's right
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student
Thank you for coming back again. Achieve University's website thing.
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[ { "pii_type": "SCHOOL", "surrogate": "Achieve University", "start": 33, "end": 51 } ]
volunteer
OK
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student
Yeah.
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student
Population tools people who are extremely tired, right?
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volunteer
That's right
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student
Because on the exam, I had problem figuring out which two pro which two populations were being compared.
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volunteer
Right
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student
I was stuck on there
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volunteer
Yeah, there's more than one way to do this. We cannot compare the two means directly because they, they don't tell us how many people are in the first group, people who are not tired, they only give us the mean and the variance for the, the group of tired people, group number 2, we, we're given the value of n, which is...
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volunteer
and um
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volunteer
and they tell us that their accuracy was 78.
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volunteer
So what we're gonna do, I'm gonna show you how to formulate the hypothesis.
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student
Yeah
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volunteer
All right, so
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volunteer
we're gonna write the
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volunteer
so that's the second group, so that we start with what's called the null hypothesis.
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student
No, but wait a second. My instructor, she starts with the research hypothesis.
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student
like the 8 of 1, we call it H1.
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volunteer
OK. H sub 1. All right, we'll write that one first. I'll
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volunteer
OK.
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student
Yeah, that's how I work my homework problems and stuff. So hopefully, I'm, I'm hoping that it doesn't bother you. Sorry, but.
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volunteer
No, that's fine
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volunteer
OK
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volunteer
So
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volunteer
naturally we think that people who are tired will not perform as well, so we're going to see if they perform just as well or if they're worse than the people who are not tired.
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volunteer
So what we're gonna do
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volunteer
we're gonna write the, this is the mean of the population
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volunteer
who is
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volunteer
tired. This is, we pronounce this new. You see this little symbol that I wrote.
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student
I don't
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volunteer
I led it in that, that's, that's pronounced mute. That's the symbol for the mean of the second group, the tired people, and the research hypothesis is
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student
Wait, how do I move this toolbox so I can see the information you have written, cause it's blocking the information you wrote.
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volunteer
oh, you can't see the book
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student
I, I can't see the board, but the two parks in the middle is blocking the information you wrote for number 19, problem number 19.
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volunteer
OK, can you scroll up and down?
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student
Oh, yes, I see, I see, sorry. I see.
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volunteer
OK. So we, we think that the, the research hypothesis is to see if the mean of the tired people will be less than the mean of the not tired people, so I'm going to write it like this.
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volunteer
Sou sub 2
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volunteer
less than mu sub one, that will be what you call the
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volunteer
uh research hypothesis. It's also called the alternative hypothesis.
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student
Yeah, I know that too, but we call it research hypothesis and the no hypothesis.
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volunteer
OK
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volunteer
Now we, now what we need is what's called the null hypothesis.
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student
like the opposite of the research hypothesis.
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volunteer
Exactly right
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volunteer
But we call it
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volunteer
H0
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student
Yeah
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