< Return to Video

ck12.org Exercise: Standard Normal Distribution and the Empirical Rule

  • 0:01 - 0:05
    We're now on problem number 4
    from the Normal Distribution
  • 0:05 - 0:11
    chapter from ck12.org's
    FlexBook on AP Statistics.
  • 0:11 - 0:12
    You can go to their
    site to download it.
  • 0:12 - 0:14
    It's all for free.
  • 0:14 - 0:16
    So problem number 4, and
    it's, at least in my mind,
  • 0:16 - 0:17
    pretty good practice.
  • 0:17 - 0:22
    For a normal, or a standard
    normal distribution,
  • 0:22 - 0:26
    place the following in order
    from smallest to largest.
  • 0:26 - 0:28
    So let's see, percentage of
    data below 1, negative 1.
  • 0:28 - 0:29
    OK.
  • 0:29 - 0:31
    Let's draw our standard
    normal distribution.
  • 0:31 - 0:33
    So a standard
    normal distribution
  • 0:33 - 0:36
    is one where the
    mean is-- sorry,
  • 0:36 - 0:38
    I drew the standard
    deviation-- is
  • 0:38 - 0:41
    one where the mean, mu for
    mean, is where the mean is
  • 0:41 - 0:46
    equal to 0, and the standard
    deviation is equal to 1.
  • 0:46 - 0:51
    So let me draw that standard
    normal distribution.
  • 0:51 - 0:55
    Let's see, so let me draw
    the axis right like that.
  • 0:55 - 0:59
    Let me see if I can draw
    a nice-looking bell curve.
  • 0:59 - 1:02
    So there's the bell
    curve right there.
  • 1:02 - 1:03
    You get the idea.
  • 1:03 - 1:07
    And this is a standard normal
    distribution, so the mean,
  • 1:07 - 1:09
    or you can kind view the
    center point right here.
  • 1:09 - 1:11
    It's not skewed.
  • 1:11 - 1:14
    This says the mean is
    going to be 0 right there,
  • 1:14 - 1:15
    and the standard deviation is 1.
  • 1:15 - 1:19
    So if we go 1 standard
    deviation to the right,
  • 1:19 - 1:21
    that is going to be 1.
  • 1:21 - 1:22
    If you go 2 standard
    deviations, it's
  • 1:22 - 1:26
    going to be 2, 3 standard
    deviations, 3, just like that.
  • 1:26 - 1:30
    1 standard deviation to the
    left is going to be minus 1.
  • 1:30 - 1:32
    2 standard deviations
    to the left
  • 1:32 - 1:34
    will be minus 2, and
    so on, and so forth.
  • 1:34 - 1:37
    Minus 3 will be 3 standard
    deviations to the left
  • 1:37 - 1:39
    because the standard
    deviation is 1.
  • 1:39 - 1:42
    So let's see if we can
    answer this question.
  • 1:42 - 1:45
    So what's the percentage
    of data below 1?
  • 1:49 - 1:51
    Part a, that's this
    stuff right here.
  • 1:51 - 1:55
    So everything below 1, so
    it's all of-- well, not
  • 1:55 - 1:56
    just that little center portion.
  • 1:56 - 1:58
    It keeps going.
  • 1:58 - 2:01
    Everything below 1,
    percentage of data below 1.
  • 2:01 - 2:03
    So this is another
    situation where
  • 2:03 - 2:05
    we should use the
    empirical rule.
  • 2:08 - 2:10
    Never hurts to
    get more practice.
  • 2:10 - 2:12
    Empirical rule, or
    maybe the better way
  • 2:12 - 2:18
    to remember the empirical rule
    is just the 68, 95, 99.7 rule.
  • 2:18 - 2:20
    And I call that a
    better way because it
  • 2:20 - 2:21
    essentially gives you the rule.
  • 2:21 - 2:23
    These are just the
    numbers that you
  • 2:23 - 2:24
    have to essentially memorize.
  • 2:24 - 2:27
    And if you have a calculator
    or a normal distribution table,
  • 2:27 - 2:28
    you don't have to do this.
  • 2:28 - 2:30
    But sometimes in
    class, or people
  • 2:30 - 2:31
    want you to estimate
    percentages,
  • 2:31 - 2:35
    and so you can impress people
    if you can do this in your head.
  • 2:35 - 2:37
    So let's see if we can use
    the empirical rule to answer
  • 2:37 - 2:41
    this question, the area under
    the bell curve all the way up
  • 2:41 - 2:45
    to 1, or everything
    to the left of 1.
  • 2:45 - 2:48
    So the empirical rule tells
    us that this middle area
  • 2:48 - 2:52
    between 1 standard
    deviation to the left
  • 2:52 - 2:56
    and 1 standard deviation to the
    right, that right there is 68%.
  • 2:56 - 2:58
    We saw that in the
    previous video as well.
  • 2:58 - 3:00
    That's what the
    empirical rule tells us.
  • 3:00 - 3:03
    Now, if that's 68%, we
    saw in the last video
  • 3:03 - 3:04
    that everything else
    combined, it all
  • 3:04 - 3:09
    has to add up to 1 or to 100%,
    that this left-hand tail-- let
  • 3:09 - 3:11
    me draw it a little
    bit-- this part
  • 3:11 - 3:15
    right here plus this part
    right here has to add up,
  • 3:15 - 3:19
    when you add it to 68, has
    to add up to 1 or to 100%.
  • 3:19 - 3:22
    So those two combined are 32%.
  • 3:22 - 3:24
    32 plus 68 is 100.
  • 3:24 - 3:26
    Now, this is symmetrical.
  • 3:26 - 3:27
    These two things
    are the exact same.
  • 3:27 - 3:31
    So if they add up to 32,
    this right here is 16%,
  • 3:31 - 3:34
    and this right here is 16%.
  • 3:34 - 3:35
    Now, the question,
    they want us to know
  • 3:35 - 3:37
    the area of everything--
    let me do it
  • 3:37 - 3:40
    in a new color--
    everything less than 1,
  • 3:40 - 3:42
    the percentage of data
    below 1, so everything
  • 3:42 - 3:44
    to the left of this point.
  • 3:44 - 3:45
    So it's the 68%.
  • 3:45 - 3:48
    It's right there,
    so it's 68%, which
  • 3:48 - 3:51
    is this middle area within
    1 standard deviation,
  • 3:51 - 3:54
    plus this left
    branch right there.
  • 3:54 - 3:58
    So 68 plus 16%, which is what?
  • 3:58 - 4:01
    That's equal to 84%.
  • 4:01 - 4:03
    So part a is 84%.
  • 4:03 - 4:05
    They're going to want us to
    put this in order eventually,
  • 4:05 - 4:07
    but it's good to just
    solve because that's really
  • 4:07 - 4:07
    the hard part.
  • 4:07 - 4:10
    Once we know the numbers,
    ordering is pretty easy.
  • 4:10 - 4:14
    Part b, the percentage
    of data below minus 1.
  • 4:14 - 4:16
    So minus 1 is right there.
  • 4:16 - 4:19
    So they really just want
    us to figure out this area
  • 4:19 - 4:22
    right here, the percentage
    of data below minus 1.
  • 4:22 - 4:23
    Well, that's going to be 16%.
  • 4:23 - 4:26
    We just figured that out.
  • 4:26 - 4:28
    And you could have already
    known just without even knowing
  • 4:28 - 4:31
    the empirical, just looking
    at a normal distribution,
  • 4:31 - 4:34
    that this entire area, that
    part b is a subset of part a,
  • 4:34 - 4:36
    so it's going to be
    a smaller number.
  • 4:36 - 4:38
    So if you just have
    to order things,
  • 4:38 - 4:39
    you could have made
    that intuition,
  • 4:39 - 4:43
    but it's good to do practice
    with the empirical rule.
  • 4:43 - 4:45
    Now part c, they want to
    know, what's the mean?
  • 4:45 - 4:46
    Well, that's the easiest thing.
  • 4:46 - 4:49
    The mean of a standard
    normal distribution,
  • 4:49 - 4:51
    by definition, is 0.
  • 4:51 - 4:53
    So number c is 0.
  • 4:53 - 4:56
    d, the standard deviation.
  • 4:56 - 4:59
    Well, by definition,
    the standard deviation
  • 4:59 - 5:01
    for the standard normal
    distribution is 1.
  • 5:01 - 5:04
    So this is 1 right here.
  • 5:04 - 5:06
    This is easier than I
    thought it would be.
  • 5:06 - 5:10
    Part e, the percentage
    of data above 2.
  • 5:10 - 5:15
    So they want the
    percentage of data above 2.
  • 5:15 - 5:20
    So we know from the
    68, 95, 99.7 rule
  • 5:20 - 5:22
    that if we want to
    know how much data
  • 5:22 - 5:24
    is within 2 standard
    deviations-- so let
  • 5:24 - 5:26
    me do it in a new color.
  • 5:28 - 5:31
    Let me do it in a more
    vibrant color, green.
  • 5:31 - 5:34
    If we're looking from
    this point to this point--
  • 5:34 - 5:35
    so it's within 2 standard
    deviations, right,
  • 5:35 - 5:38
    the standard
    deviation here is 1--
  • 5:38 - 5:40
    if we're looking within
    2 standard deviations,
  • 5:40 - 5:46
    that whole area right there,
    by the empirical rule, is 95%,
  • 5:46 - 5:48
    within 2 standard deviations.
  • 5:48 - 5:50
    This is 95%.
  • 5:50 - 5:53
    Which tells us that
    everything else combined--
  • 5:53 - 5:55
    so if you take
    this yellow portion
  • 5:55 - 5:57
    right here and
    this yellow portion
  • 5:57 - 6:00
    right here, so everything
    beyond 2 standard deviations
  • 6:00 - 6:02
    in either direction-- that
    has to be the remainder.
  • 6:02 - 6:03
    So you know everything
    in the middle
  • 6:03 - 6:06
    was 95 within 2
    standard deviations.
  • 6:06 - 6:10
    So that has to be 5%, if you
    add that tail and that tail
  • 6:10 - 6:13
    together, everything to
    the left and right of 2
  • 6:13 - 6:14
    standard deviations.
  • 6:14 - 6:16
    Well, I've made the
    argument before, everything
  • 6:16 - 6:17
    is symmetrical.
  • 6:17 - 6:19
    This and this are equal.
  • 6:19 - 6:21
    So this right here
    is 2 and 1/2%,
  • 6:21 - 6:24
    and this right here
    is also 2 and 1/2%.
  • 6:24 - 6:26
    So they're asking
    us the percentage
  • 6:26 - 6:29
    of data above 2, that's this
    tail, just this tail right
  • 6:29 - 6:33
    here, the percentage of data
    more than 2 standard deviations
  • 6:33 - 6:34
    away from the mean.
  • 6:34 - 6:36
    So that's 2 and 1/2%.
  • 6:36 - 6:38
    Let me do it in a darker
    color-- 2 and 1/2%.
  • 6:40 - 6:42
    Now, they're asking
    us, let's see, place
  • 6:42 - 6:45
    the following in order
    from smallest to largest.
  • 6:45 - 6:47
    So there's a little
    bit of ambiguity here.
  • 6:47 - 6:51
    Because if they're saying the
    percentage of data below 1,
  • 6:51 - 6:53
    do they want us to
    say, well, it's 84%.
  • 6:53 - 6:57
    So should we consider
    the answer to part a, 84?
  • 6:57 - 6:59
    Or should we consider-- if
    they said the fraction of data
  • 6:59 - 7:02
    below 1, I would say 0.84.
  • 7:02 - 7:04
    So it depends on how they
    want to interpret it.
  • 7:04 - 7:04
    Same way here.
  • 7:04 - 7:08
    The percentage of data below
    minus 1, I could say the answer
  • 7:08 - 7:08
    is 16.
  • 7:08 - 7:12
    16 is the percentage
    below minus 1.
  • 7:12 - 7:15
    But the actual number, if
    I said the fraction of data
  • 7:15 - 7:17
    below minus 1, I would say 0.16.
  • 7:17 - 7:19
    So this actually would be very
    different in how we order it.
  • 7:19 - 7:21
    Similarly, if someone
    me asked me the percent,
  • 7:21 - 7:23
    I'd say, oh, that's 2.5.
  • 7:23 - 7:26
    But the actual number is 0.025.
  • 7:26 - 7:28
    That's the actual fraction
    or the actual decimal.
  • 7:28 - 7:30
    So I mean, this is
    just ordering numbers,
  • 7:30 - 7:32
    so I shouldn't fixate
    on this too much.
  • 7:32 - 7:35
    But let's just say that
    they're going with the decimal.
  • 7:35 - 7:37
    So if we wanted
    to do it that way,
  • 7:37 - 7:40
    they want to do it from smallest
    to largest, the smallest
  • 7:40 - 7:42
    number we have here is c, right?
  • 7:42 - 7:44
    That's 0.
  • 7:44 - 7:49
    And then the next smallest
    is e, which is 0.025.
  • 7:49 - 7:55
    Then the next smallest
    is b, which is 0.16.
  • 7:55 - 7:58
    And then the next one after
    that is a, which is 0.84.
  • 7:58 - 8:01
    And then the largest would
    be the standard deviation, d.
  • 8:01 - 8:02
    So the answer is c, e, b, a , d.
  • 8:02 - 8:04
    And obviously, the
    order would be different
  • 8:04 - 8:06
    if the answer to this,
    instead of saying it's 0.84,
  • 8:06 - 8:08
    if you said it was 84 because
    it's asking for the percentage.
  • 8:08 - 8:09
    So a little bit of ambiguity.
  • 8:09 - 8:11
    If we had a question
    like this on the exam,
  • 8:11 - 8:13
    I would clarify that
    with the teacher.
  • 8:13 - 8:15
    But hopefully you
    found this useful.
Title:
ck12.org Exercise: Standard Normal Distribution and the Empirical Rule
Description:

more » « less
Video Language:
English
Team:
Khan Academy
Duration:
08:16

English subtitles

Revisions Compare revisions