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Hi, everyone.
I wanted to do a problem for you guys from section 2.5.
In the past few semesters, this has been a problem that
people have emailed me about a lot.
So I figured I would do a video for you.
I've only done these videos two or three times, so please
forgive me if it's a little messy.
So the problem we're going to do is, let's say, the mean
amount of time spent shovelling in the blizzard of
2013 is 16 hours, the standard deviation of 3.
OK.
I know that that--
16 was not our time, we were definitely about that.
But let's just say that was our mean.
And let's also assume--
I should have added this in--
let's assume that this is normal.
OK.
Which means, as soon as we assume that, we know we're
thinking we're going to use empirical rule.
OK.
I promise I have better handwriting in person.
OK.
So let's say we wanted to figure out what percentile
does a person who shovels 19 hours represent.
The first thing we need to do is translate this into number
of standard deviations.
OK?
19 doesn't mean anything to me.
What means something to me is, how many standard deviations
is that from 16?
All right.
So that's our z-score.
So first thing we do is find our z.
So we do our 19 minus our mean of 16, all over
our standard deviation.
Which comes out to be 1.
So that means we're one standard
deviation from the mean.
That's what we want.
That's what tells us, really, if this is unusual or not.
So next thing I always tell people do, especially when I
have them on ground for a class, is you want to draw the
normal curve.
Any time you're using it, draw it so you can picture what
you're trying to find.
So this is a mean of 16, and we're up here at 19.
So what I'm going to do is I'm going to draw the
other side of this.
I'm going to make it symmetric, and let's
say that was 13.
OK.
So from the empirical rule, we know that this shaded piece in
here, the middle from one standard deviation on either
side, is 68% of our data.
Since its normal.
OK.
So that's not our percentile.
Percentile, remember, is area to the left.
Always.
So the percentile is we want all of this whole piece, not
just the middle.
But 68% is going to get us started.
If I take the whole curve, which is 100%, and I take off
68%, I'm left with 32% as a whole for these two pieces on
the side that are not shaded.
Which means in here is 16%.
And in here is 16%.
OK.
So now my percentiles all of this shaded piece from 19 all
the way down to the end.
OK.
So if I add up those two values, 68% plus 16, that's
going to get me my percentile.
That's going to get me my percentile of 84.
So the person that shovels 19 hours represents the 84th
percentile.
OK?
So you're going to use that same process
for any one of those.
It's a matter of drawing a normal curve, figuring out
what the empirical rule will tell you, and then filling in
the other percentiles and seeing what
you need to add up.
OK.
So I have one more.
So now let's say what percentile that a person who
shovels 10 hours represent.
So same thing.
Let's see how many standard deviations far away this is.
So this is below the mean.
So it's going to come out negative.
So we've got a person that shovels 10 against a
mean of 16 over 3.
So we end up getting a negative 2.
So that means we're two standard deviations to the
left of the mean.
So let's draw it and see where we're at.
OK.
So here's our mean of 16.
We're down here at 10, two standard deviations.
So we could just kind of fill in the other side.
We don't even need that value.
But empirical rules gives me the middle piece.
OK.
And empirical rule says that 95% of my data falls within
two standard deviations.
OK.
So that's where we're at.
Again, that's not my percentile.
I want to know what is to the left of that.
So in this case, my percentile, since I'm the
person shoveling 10, my percentile's over here.
So 100 minus that 95 gives me 5% for the rest of my whole
graph here.
Whatever all the way to the left, all
the way to the right.
OK.
Cut that in half, which means this gives me 2.5%, and this
gives me 2.5%.
Which means the percentile for a person that shovels 10, that
person is in the 2.5% percentile.
It comes out really low.
If you think about that makes sense, it's a really low
percentile because they're quite a bit below the mean.
Whereas the last one that we did, it came out to be I think
it was the 84th percentile, and they were above the mean.
So it should be above the 50th percentile.
If we were looking for, say, this value over here, the
percentile for that, we would have added up
the 95 and the 2.5.
OK.
But this is down here below the mean.
Hopefully that helps you with some of those homework
problems in 2.5.
If you have any other questions,
just shoot me an email.
Enjoy your snow days.
Bye.