XYZ Mat 120 Module 1 Lesson 1 7 — Transcript
Full transcript
- 0:00this is module 1 lesson 1.7
- 0:03and the title is measures of position
- 0:06we've already looked at measures of
- 0:07center
- 0:08measures of variation and this is
- 0:11measures of
- 0:12position so what we want to talk about
- 0:14are a few different things
- 0:17the first thing we want to talk about is
- 0:18a z-score a z-score
- 0:21is a standard score that is the number
- 0:23of standard deviations a given value
- 0:26is above or below the mean and we've
- 0:28kind of talked about
- 0:30that a little bit before but um when we
- 0:33go back
- 0:33and we we look at when we were doing the
- 0:36empirical rule
- 0:37we said okay the mean is in here how
- 0:40many standard deviations we said well
- 0:42one standard deviation two standard
- 0:44deviations
- 0:45three and then back here is a minus one
- 0:48a minus two and a minus three
- 0:49those become our z scores so that's what
- 0:52we're talking about when we're looking
- 0:54at a z-score
- 0:55it's simply a formula you take the value
- 0:58that you're given
- 0:59subtract the mean and then divide that
- 1:01quantity by
- 1:02the standard deviation and so the
- 1:04population remember we've got x
- 1:06minus mu divided by sigma so it's the
- 1:09same calculation
- 1:10it's just written in the different
- 1:12formats
- 1:13so let's look at this problem a normal
- 1:15distribution
- 1:17has a mean of 123 a standard deviation
- 1:21of 5.
- 1:21we want to find the z-score for a data
- 1:23value 136.
- 1:25well my formula for the z-score
- 1:28is your data value minus the mean
- 1:33divided by the standard deviation
- 1:36so we'll do the calculation there we'll
- 1:38do 136.
- 1:40so we're going to get rid of this here
- 1:43and we're going to do 136
- 1:46we're going to subtract 123 and we want
- 1:48to get that quantity
- 1:49that quantity is 13. so it's 13
- 1:52divided by 5. so 13 divided by 5
- 1:57so z equals 13 divided by
- 2:015 and then that gave me a value of 2.6
- 2:05so 2.6 is the z-score it said 2 decimal
- 2:09places but that was just
- 2:102.6 and that's all we need for that
- 2:14then when we talk about z-scores
- 2:17generally
- 2:18they go up to 2 and negative 2.
- 2:22those are significant values so z scores
- 2:25are very small
- 2:26because remember when we talked about
- 2:28the empirical rule we said that 99.7
- 2:32of the values fall within 3 standard
- 2:36deviations so we're not going to get
- 2:37very high when we're doing z scores
- 2:40so to talk about significance they're
- 2:42significant
- 2:44if they're between two and negative two
- 2:46otherwise they're significantly high
- 2:49and they could go further here and
- 2:50they're significantly low for going to
- 2:52the left
- 2:54so for this one we have a recent quiz
- 2:57the class
- 2:58mean is 78 standard deviation is 2.7
- 3:02we want to calculate the z-score if a
- 3:04person scored 76
- 3:06so once again we'll say a person's score
- 3:10minus the mean divided by the standard
- 3:13deviation
- 3:15so if i do this calculation
- 3:18i know that that's a negative 2 on top
- 3:22divided by 2.7 so
- 3:25negative 2 divided by 2.7
- 3:30gives me negative point seven four two
- 3:33decimal places would be negative
- 3:35point seven four so equals
- 3:38negative point seven four and that's
- 3:40okay to have a negative
- 3:42because it means that the score was
- 3:44below the mean
- 3:46the mean was 78 but this
- 3:49student scored a 76 so since it's below
- 3:53then obviously it's going to be to the
- 3:55left because this is my zero
- 3:57and so it would be negative 0.74 is this
- 4:01unusual or not unusual it's not unusual
- 4:05because remember the values can go
- 4:08between
- 4:09negative 2 and 2 to be usual
- 4:13so those are usual values those are not
- 4:14unusual those are significant
- 4:16it's anything outside of that range then
- 4:18it would be unusual
- 4:21then we're going to do a five number
- 4:23summary a five number summary contains
- 4:26the minimum
- 4:26q1 the median q3 and the maximum
- 4:30so i want to go to my calculator and i
- 4:32want to do stat
- 4:33i want to do enter and then i want these
- 4:36data values now i've already entered
- 4:38these to save a little bit of time so
- 4:39i've got all the values
- 4:41entered so you take time and you enter
- 4:44every single data value that you see
- 4:46on this chart and
- 4:50when i get them all in there
- 4:53i should have 18 values
- 4:567 18 that's right and then we'll do stat
- 5:00then we'll do calc and then we'll do
- 5:02enter
- 5:03now i want only l1 so if you have
- 5:06anything in the frequency list clear it
- 5:08we don't want anything there because we
- 5:10only have one list and then when we
- 5:12calculate it we're going to get back up
- 5:14here what we've seen earlier
- 5:16so if i go down i'll see my five number
- 5:19summary
- 5:20notice your minimum is 11 your q1 is 26
- 5:24your median is 53.5 your q3 is 81 and
- 5:28your maximum is 88.
- 5:30so 11
- 5:3326 53.5
- 5:3981 and 88 and that's my five number
- 5:42summary
- 5:4381 and 88 so that's what we're looking
- 5:45at
- 5:47now we take that and we can plot it
- 5:51so based on this block box plot we want
- 5:54to identify
- 5:55a five number summary well let me go
- 5:57back to this for just a minute
- 5:59if i go to second y and i do a plot
- 6:03i want this on and i come down here and
- 6:06we did this
- 6:07back in the graphing part at the
- 6:09beginning of this module
- 6:11and we do a box plot remember we can go
- 6:14to zoom and we can go to stat
- 6:19and it'll show me my picture now that's
- 6:20not this particular picture that's the
- 6:22one previous
- 6:23and so here is your your minimum here's
- 6:26your q1
- 6:27here's your median here's your q3 and
- 6:28then there's your maximum value
- 6:30so now based on that let's look at this
- 6:32one the box plot
- 6:34the minimum that's 10 right here
- 6:38the next one is this value that's 11.
- 6:41so that would be q1 here's my median
- 6:45that would be 12. here's 14 which would
- 6:48be q3
- 6:50and then my maximum is over here at 19.
- 6:53so that's how we read the box plots
- 6:58based on this box plot where is the
- 7:00median okay remember
- 7:02we start with the minimum we have q1
- 7:05here's the median right here based on
- 7:07this box plot
- 7:08the median is 11. q3 is over here and
- 7:11then the maximum
- 7:14now we're going to talk about the
- 7:15interquartile range and this is a
- 7:17formula
- 7:18the interquartile range gives us some
- 7:20boundaries
- 7:21um we're going to find q1 q2 and q3 and
- 7:24then here's a rule
- 7:25the interquartile range is q3 minus q1
- 7:28so you just subtract those values but
- 7:31to evaluate this to see if we have any
- 7:34outliers we're going to take that value
- 7:36that we get
- 7:37and multiply by 1.5 anything
- 7:41greater than q3 would be an outlier
- 7:45and anything smaller than q1 would be an
- 7:48outlier
- 7:49and so what we're doing is we're
- 7:50bounding and we're figuring out what
- 7:52numbers
- 7:52would fall in that interquartile range
- 7:56so now we have a stem and leaf plot
- 7:59so let's go back up here and it says
- 8:01find all this stuff the five number
- 8:03summary the range the inner quartile
- 8:05range
- 8:06so looking at this i'm going to go back
- 8:09to my calculator
- 8:11i'm going to put these values in for l1
- 8:14the first one is 10 the next one is 12.
- 8:18remember we're reading this just like we
- 8:21read it when we did our stem and leaf
- 8:23plot interpretation
- 8:2524 29 and 29
- 8:28then we have nothing for three because
- 8:30there's no zero there so no three
- 8:33we have a 42 another 42
- 8:36a 48 and a 49.
- 8:40and then we've got a 50 because we do
- 8:42have a 0 there
- 8:43we have a 52 we have a 53
- 8:47we have a 54 we have a 58 and we have a
- 8:5059
- 8:51and then the last one we do have a 60
- 8:53because of the zero and we have a 65.
- 8:56so those are my values i should have 19
- 8:59values
- 9:04okay so the minimum we'll go back and
- 9:07we'll do stat we'll do calc
- 9:08one variable stats nothing in the
- 9:10frequency list
- 9:12and then we'll come down here okay so
- 9:15the minimum is 10
- 9:17q1 is 24 and the median is 48.
- 9:20so 10
- 9:2424 48 is the median
- 9:28then we had a 54 and a 65
- 9:3254 and 65. so that's my inter
- 9:36not my interquartile that's my five
- 9:37number summary the range
- 9:39remember the range is simply
- 9:44the maximum minus the minimum
- 9:47so max minus the min so the range is 65
- 9:50minus 10 i know that's 55.
- 9:52what is the interquartile range the
- 9:54interquartile range is just simply
- 9:58q3 minus q1 so q3
- 10:02is 54 q1 is 24
- 10:06so that will give me a interquartile
- 10:08range of 30.
- 10:11so that's how i calculate that and then
- 10:12the very last one
- 10:14we want to do the same thing and then we
- 10:16want to figure out the bounds
- 10:18for our possible outliers
- 10:21so let's do this one by going to stat
- 10:24we'll hit our
- 10:30list
- 10:32put all these values in here
- 10:54i'm hoping i'm getting all these right
- 10:58um so now we want to do the same thing i
- 11:00did before
- 11:01stat calc list
- 11:04we'll scroll down and we're going to
- 11:07find
- 11:08the minimum the q1 the q3 and the
- 11:09maximum so let's look at this 11
- 11:1137 46 57
- 11:14so 11 37 46
- 11:1857 and 85
- 11:24so those are my values for the five
- 11:27number summary
- 11:28what is the value for iqr so remember
- 11:31that's q3 minus q1
- 11:34so that would be 57 minus
- 11:3737 so that would be 27 i'm 20 i'm sorry
- 11:43so 20 3 minus q1 so that would be 20
- 11:47and then the lower bound for the outlier
- 11:50this is where i want to take the 1.5
- 11:53and multiply it times the interquartile
- 11:56range
- 11:57so 20 times 1.5 20
- 12:00times 1.5 is going to be
- 12:0430. so that would be my 30
- 12:08and i want to subtract that from q1
- 12:13so q1 is 37
- 12:16so 37 minus 30 is going to give me seven
- 12:22and then for the upper so
- 12:25i've got 30 and i want to add it to q3
- 12:28so i'm going to take 57 and i'm going to
- 12:30add
- 12:3030 and i'll get 87. and so we're
- 12:33expecting our ranges
- 12:35of these numbers to fall between 7 and
- 12:3787
- 12:38anything outside of those range values
- 12:41would be considered unusual
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