Datasets:
NationalTutoringObservatory
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MathEd-PII

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volunteer
the bell, the bell lights up or the light turns on and we understand
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volunteer
So maybe when you were taking it, you were
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volunteer
confused by the table or something like that.
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student
cause I got this Dails correct, but the areas they were hard to find because the first one was 0.4. So I was actually looking at um
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student
the Z score of um
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student
0.04.
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volunteer
Uh.
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volunteer
Yes, that would do it to you, yes.
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student
Oh, it was tricky. But I understand now it's 0.4.
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volunteer
Mhm
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student
0 got.
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volunteer
Yeah, I think you, you've, you've got all the answers, so whatever you're doing to read the table now and your Z values are fine.
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volunteer
Just keep doing what you just did here tonight and you should be good.
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student
Yeah. This was just from another exam. That's it.
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volunteer
I get, I get it, yeah
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volunteer
Yeah, we all hate to take an exam and then find out.
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volunteer
oh, I understand it, but at the time, you know, something happened, which is
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volunteer
normal to happen. I mean, it, it's
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volunteer
it's
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volunteer
that's sometimes how we learn things.
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student
Yeah
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student
Yeah, yeah, yeah
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student
I understand
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volunteer
This is a, you know, the hypothesis testing, and I've always found, you know, unless I sit down again
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volunteer
cause I'm, I'm
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volunteer
uh
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volunteer
I'graduated for
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[ { "pii_type": "SCHOOL", "surrogate": "graduated", "start": 2, "end": 11 } ]
volunteer
55 years, so it's, it's been a long time. Um,
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volunteer
but you
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student
No, you were a professor?
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volunteer
excuse me
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student
University professor?
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[ { "pii_type": "SCHOOL", "surrogate": "University", "start": 0, "end": 10 } ]
volunteer
No, no, no, I'd just say I went to
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student
Oh
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volunteer
my undergraduate, like 55 years ago, so.
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volunteer
it's not, and then this was not one of my favorite things, hypothesis testing, so it never really um
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volunteer
you know, it, it doesn't, never sunk in all those years. So every time somebody talks about it, I have to go get out of
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volunteer
uh statistics book and look at it again, trying to understand it for the umpteenth time, you know.
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student
Yeah, yeah, yeah. I, I get it.
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volunteer
The hypothesis that I, you know, the hypothesis testing is kind of mysterious and that, I guess they're, they're making it, they're walking, which is good, they're walking you through it slowly.
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volunteer
and surely, so the concentrate on the statements, which is what you're kind of doing right now and the errors that
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volunteer
you know, the hypothesis, no hypothesis and the alternative hypothesis and the type one error in the type 2 error.
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volunteer
and trying to make sure that you can understand
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volunteer
the definitions of all those so that when you actually
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volunteer
um compute some statistics and
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volunteer
get into the P values.
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volunteer
which I assume you haven't done yet. Uh, when you do, it'll all fall right into place.
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student
Yeah, we do use the critical values, P-values.
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volunteer
Right? You have, we, you, I assume you will be at some point, right?
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student
Yeah
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volunteer
Well, I hope I haven't confused you in any way.
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student
No, no, no, I understand all of it.
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volunteer
OK, good
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student
And um do you understand, um, so do you know, like, are you familiar with what determines a study's power
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volunteer
Well, there's a definition, let me get it out here. Um, again, like I said,
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student
I have the I have the definition of statistical power, which is the probability that um a study will produce a significant result if the research hypothesis is true, like the alternative hypothesis.
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volunteer
the alternative or yeah.
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volunteer
Let me, let me just look up what I have here. Hold on, please.
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volunteer
Again, that's not something that I
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volunteer
remember all that well too
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volunteer
266 power or section.
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volunteer
So it says this is from my
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volunteer
statistics book
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volunteer
The Power of the Test
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volunteer
is defined to be the probability that the null hypothesis
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volunteer
will be rejected
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volunteer
when uh
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volunteer
mean is are the
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volunteer
alternative is true, I guess.
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student
Yeah, something like that. I have it as, it's a, it's a probability that the um study will produce a significant result. If the alternative hypothesis is um true.
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volunteer
Right, the alternative hypothesis is true
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volunteer
um,
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volunteer
probability that the no
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volunteer
alternative hypothesis is true and you're rejecting
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volunteer
80, right
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student
I don't know, but I just go.
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volunteer
The power, the power of the test is the probability that the null hypothesis
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volunteer
will be rejected when
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volunteer
um
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volunteer
the
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volunteer
um boy
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volunteer
Anyhow, I don't wanna confuse you anymore.
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student
Yeah
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student
I, I appreciate this children.
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volunteer
OK, I'm, I'm sorry that there's nobody who really, I'm, I'm sorry to hear there's nobody that really uh has great understanding
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volunteer
Uh, I kind of
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volunteer
certain parts of
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volunteer
probability, I, I do very well at. The statistics part, when we start getting into this
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volunteer
is a bit murky for me, but I, I think we slugged through some stuff. At least you understood um.
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volunteer
the um mistake you had on your test. So that, that's one good thing.
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volunteer
Um
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student
Yeah
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volunteer
and you're, you sound like you've got these statements down correctly from what I can grasp.
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student
Yeah, yeah, yeah, yeah
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student
My God
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student
OK, thank you.
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student
Bye
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volunteer
You take, take care and good luck tomorrow.
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student
Thank you
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volunteer
Bye-bye.
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