The Dot Plot What is it? How to Draw it Bet you’ve never seen a graph like this one before...
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Transcript of The Dot Plot What is it? How to Draw it Bet you’ve never seen a graph like this one before...
2
What is a Dot Plot?
A dot plot is a graph that shows the distribution of a quantitative variable above a number line with small periods, dots, circles or x’s. It plots a quantitative variable against a quantitative variable.
Axes on a dot plotA dot plot only has an x-axis. The y-axis is never drawn
Advantage of a dot plotModerate amounts of quantitative data can be quickly visualized
3
What is a Dot Plot?
2 Variables on a dot plot:
x-axis variable is quantitative and identified
y-axis variable is implied since the y-axis is never drawn.
y-axis variable is ‘the count’ and so is normally discrete quantitative
4
Making a Dot Plot
• I want to know more about my students who take Intro Stats so I’ve decided to take a survey and make a dot plot of the results
• I’d like to find out about the pets they have in their household.
• The question then becomes:
“How many pets are in your household?”
5
Making a Dot Plot from Live Data
Frequency Frequency
0 pets 9 pets
1 pet 10 pets
2 pets 11 pets
3 pets 12 pets
4 pets 13 pets
5 pets 14 pets
6 pets 15 pets
7 pets 16 pets
8 pets 17 pets
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Dot Plot ExampleNumber of Pets Per Household
for Ms. H's Intro Stat Classes
2009
| | | | | | | | | | | | | | | | | | |
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Source: In Class Survey x-axis: # of Pets
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Freq Table
Example 4 Classes Combined
Mean = 2.52 pets
Median = 2 pets
Mode = 0 pets (37x)
Range = 30 pets
Spread = 0 - 30 pets
n = 134 students
Fre- Relative
Class quency Freq
0 pets 37 27.6%1 pet 31 23.1%2 pets 27 20.1%3 pets 8 6.0%4 pets 10 7.5%5 pets 7 5.2%6 pets 2 1.5%7 pets 3 2.2%8 pets 2 1.5%9 pets 1 0.7%
10 pets 1 0.7%11 pets 3 2.2%12 pets 0 0.0%13 pets 1 0.7%14 pets 0 0.0%15 pets 0 0.0%16 pets 0 0.0%17 pets 0 0.0%18 pets 0 0.0%
19 pets 0 0.0%
20 pets 0 0.0%
21 pets 0 0.0%
22 pets 0 0.0%
23 pets 0 0.0%
24 pets 0 0.0%
25 pets 0 0.0%
26 pets 0 0.0%
27 0 0.0%
28 0 0.0%
29 0 0.0%
30 1 0.7%
Totals 31 classes 134 100%
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Dot Plot Example 4 Classes Combined.
:
: Number of Pets Per Household
: . for Ms. H's Intro Stat Classes
: : Oct 6, 2010
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0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 28 30
Source: In Class Survey x-axis: # of Pets
9
Dot Plot: Statistical Vocabulary Background
Spread (also called Variability)
The spread of data in statistics is the smallest value in a data set and the largest value
It is always expressed as 2 numbers
Prefer to write smallest then largest number
Units are important
Range
The range of data in statistics is the difference between the smallest value and the largest value
Take the spread and subtract the two numbers: large – small
Units are important
10
Dot Plot: Statistical Vocabulary Background
One Measure of Center
One measure of the center of a data distribution is the median, the place where the data tends to be ½ above and ½ below.
Units are important
Mode
The mode of data is a place or places with the largest number of data with the same value. Units are important.
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Dot Plot: How to Describe ItShape
The shape of a data distribution possibilities:
1) Symmetry
Symmetric Also ‘Fairly Symmetrical’
Skewed Left (negatively skewed)
Skewed Right (positively skewed)
2) Peaks
Single Peaked (unimodal)
Double Peaked (bimodal)
Multi Peaked (multimodal)
NOTE: Data have modes, dot plots have peaks
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Student Scores in Anderson’s Cr WritingName Gender 3rd Per Grade ID Test #10
Teacher No %1 Benson, Paul M Kling 11 0754447 952 Bishop, Sally F Smith 12 2310476 573 Chan, Alex M Yale 11 4512683 924 Chaney, Brenda F Fernando 11 1268130 755 Darosa, Rick M Iijima 11 7481322 836 Dovsten, Stan M Browne 10 9181322 867 Dring, Pamela F Nikola 11 5381421 688 Gomez, Tom M Lunceford 12 4681967 669 Hart, Ron M Tyler 10 2588132 75
10 Ho, DJ M Cedric 11 4678194 8211 Hughes, Kim F Dorman 12 5524911 9212 Kennedy, Fred M Ho 11 6582044 8713 Khangura, Sam M Horvath 11 9562648 6014 Lace, Bob M Kwok 11 3219403 7515 Lamar, Candy F Falck 11 6651060 8116 Lunda, Alice F Edwards 12 8650602 6817 Nester, Lucy F Ho 10 9651060 5818 Pomodor, Gorden M Horvath 10 9631068 8819 Prado, Cindy F Kang 11 7510253 8220 Rice, Dale M Duerr 12 3651054 82
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Student Scores in Anderson’s Cr Writing
Anderson's English Class Test 101 Scores
. . . . . . : : . : . .. . : .
| | | | | | | | | | |50 55 60 65 70 75 80 85 90 95 100
Source: Teacher Records x-axis: Score in pts.
14
% of Population Over 651 Alabama 13 26 Montana 13
2 Alaska 5 27 Nebraska 14
3 Arizona 13 28 Nevada 11
4 Arkansas 15 29 N Hampshire 12
5 California 11 30 N Jersey 14
6 Colorado 10 31 N Mexico 11
7 Connecticut 14 32 N York 13
8 Delaware 13 33 N Carolina 13
9 Florida 19 34 N Dakota 15
10 Georgia 10 35 Ohio 13
11 Hawaii 13 36 Oklahoma 14
12 Idaho 11 37 Oregon 14
13 Illinois 13 38 Penn 16
14 Indiana 13 39 R Island 16
15 Iowa 15 40 S Carolina 12
16 Kansas 14 41 S Dakota 14
17 Kentucky 13 42 Tennessee 13
18 Louisiana 11 43 Texas 10
19 Maine 14 44 Utah 9
20 Maryland 11 45 Vermont 12
21 Mass 14 46 Virginia 11
22 Michigan 12 47 Washington 12
23 Minnesota 12 48 W Virginia 15
24 Mississippi 12 49 Wisconsin 13
25 Missouri 14 50 Wyoming 11
15
Population over 65 Data Sorted by %1 Alaska 5 26 Indiana 13
2 Utah 9 27 Kentucky 13
3 Colorado 10 28 Alabama 13
4 Georgia 10 29 Montana 13
5 Texas 10 30 Arizona 13
6 N Mexico 11 31 Wisconsin 13
7 California 11 32 N York 13
8 Virginia 11 33 Ohio 13
9 Wyoming 11 34 Oklahoma 14
10 Maryland 11 35 Oregon 14
11 Idaho 11 36 Kansas 14
12 Louisiana 11 37 N Jersey 14
13 Nevada 11 38 Maine 14
14 Washington 12 39 Missouri 14
15 N Hampshire 12 40 Nebraska 14
16 S Carolina 12 41 Mass 14
17 Vermont 12 42 Connecticut 14
18 Mississippi 12 43 S Dakota 14
19 Michigan 12 44 Arkansas 15
20 Minnesota 12 45 N Dakota 15
21 Illinois 13 46 Iowa 15
22 N Carolina 13 47 W Virginia 15
23 Tennessee 13 48 R Island 16
24 Delaware 13 49 Penn 16
25 Hawaii 13 50 Florida 19
16
Make Dot Plot of State Population Data
Percent of Population over 65 years of Age
in the 50 States
.
:
: :
: . : :
: : : :
. : : : : :
. . : : : : : : : .
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4 6 8 10 12 14 16 18 20
Source: Statistical Abstract of the US
x-axis: Number in % to nearest integer
17
Dot Plot: How to Describe ItMore on Shape
SymmetricWhen the left & right sides of a distribution are mirror
images of one anotherFairly Symmetric
When the left and right sides of a distribution are almost mirror images of one another, but there are small exceptions.Skewed Left (negatively skewed)
If a distribution extends much farther out to the left. The direction of skewness is on the side of the longer tail, in this case LEFT.Skewed Right (positively skewed)
If a distribution extends much farther out to the right. The direction of skewness is on the side of the longer tail, in this case RIGHT.
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Dot Plot: What it Looks LikeMore on Shape: Non Symmetric
Skewed Left (negatively skewed)
Skewed Right (positively skewed)
Left Skew
Right Skew
tail
tail
20
Goals by US Women’s Soccer
Number of Goals Scored by US Women's
Soccer Team in 34 games in 2004
3 0 2 7 8 2 4 4
5 1 1 4 5 3 1 1
3 3 2 1 2 2 2 4
6 6 1 5 5 1 1 4
3 3 Source: US Soccer Assn.
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Goals by US Women’s Soccer
Ordered Ascending
0 3 6
1 3 6
1 3 7
1 3 8
1 3
1 3
1 4
1 4
1 4
2 4
2 4
2 5
2 5
2 5
2 5
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Dot Plot of Goals by US Women’s Soccer
Goals per Game by US Women's Soccer Team in 2004
:
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: : : : :
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0 1 2 3 4 5 6 7 8 9 10
Source: US Women's Soccer Assn
x-axis: # of goals per game
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Living in Poverty East of the Mississippi
Percent of State Residents Living in Poverty
East of Mississippi River, 1999 Source: Stat Abs of US
Alabama 13 Maryland 6 Penn 8
Connecticut 6 Mass 7 Rhode Is 9
Delaware 7 Michigan 7 S Caroliina 11
Florida 9 Mississippi 16 Tennessee 10
Georgia 10 New Hamp 4 Vermont 6
Illinois 8 New Jersey 6 Virginia 7
Indiana 7 NY 12 W Virginia 14
Kentucky 13 N Carolina 9 Wisconsin 6
Maine 8 Ohio 8
24
Living in Poverty East of the Mississippi
Ordered Ascending
New Hamp 4 Ohio 8
Wisconsin 6 Penn 8
Maryland 6 Rhode Is 9
Connecticut 6 Florida 9
New Jersey 6 N Carolina 9
Vermont 6 Georgia 10
Delaware 7 Tennessee 10
Indiana 7 S Caroliina 11
Mass 7 NY 12
Virginia 7 Alabama 13
Michigan 7 Kentucky 13
Illinois 8 W Virginia 14
Maine 8 Mississippi 16
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Living in Poverty East of the Mississippi
% of State Residents Living in Poverty East of
the Mississippi River in 1999
. .
: : : .
. : : : : : . . : . .
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4 5 6 7 8 9 10 11 12 13 14 15 16
Source: Statistical Abstract of the US
x-axis: Values to the nearest %
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Dot Plot: Mean & Median EssentialsSkew on a dot plot in relation to mean and
median
You’ve drawn the line that connects the dot plot points on the top of the distribution. The line clearly shows right or left skew.
If you have right skew, the mean will be to the right of (greater than) the median, as the mean follows the tail of the distribution.
Right Skew
meanmedian
tail
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Dot Plot: Mean & Median EssentialsSkew on a dot plot in relation to mean and
median
If you have left skew, the mean will be to the left of (less than) the median, as the mean follows the tail of the distribution.
medianmean
Left Skewtail
28
Dot Plot: Describing Peaks
Peaks
Unimodal
Bimodal
Unimodal
Bimodal
Multimodal (3 or more peaks)
Trimodalor Multimodal
29
TI83 and Sort Ascending
• How to Sort Data in Ascending Order
Enter all values in a list at STAT EDIT
Exit to Home Screen using 2nd MODE
Hit STAT key. Go to #2 SORT A(. Hit ENTER
Type 2nd 1 (if the data is in List 1). Hit Enter
Done appears
Check your data in List 1. It should be sorted.
Use your eyes to find the range & spread from the sorted list.
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Dot Plot: TI EssentialsFinding Mean and Median
Enter your data as a list in STAT EDIT
Exit to home screen 2nd Mode
Go to 2nd STAT.
Right Arrow to MATH
#3 is Mean; hit Enter; type 2nd and list #; Enter
#4 is Median; hit Enter; type 2nd and list #;
Enter
Calculator does not give Mode. You need your eyes for that
31
Glucose Blood Levels
Glucose Blood Levels for Adult Women55 66 83 71 76 64 59 5976 82 80 81 85 77 82 9087 72 79 69 84 71 87 6981 76 74 83 67 91 74 9489 94 73 74 93 85 83 80
32
Glucose Blood Levels
GLUCOSE BLOOD LEVELS in mg/mlfor 40 Women at Sutter Health in March 2009
: :: . . . : : . . : . : . . : : : : . : : . . . . .
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58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94Source: Sutter Health Clinic x-axis: glucose level in mg/ml
33
WBNA EAST Free Throws—Data in Ascending Order
Women's National Basketball Assn Free Throw Percentages for 1998 from WNBA
46 47 48 50 50 50 52 5355 57 57 58 60 61 61 6263 63 63 63 63 63 63 6464 67 67 67 69 71 72 7272 72 73 75 75 75 75 7576 77 78 79 79 80 81 8182 83 83 85 89 91 92 100
34
WBNA Free Throws—Dot Plot
WNBAEASTERN CONFERENCE FREE THROWPERCENTAGES 1998 .
: . : . :
. . . : . . . : . . : . : : : . . :| | | | | | | | | | | | | |
46 48 50 52 54 56 58 60 62 64 66 68 70 72.:
. : . . . : . : . : . . . . .| | | | | | | | | | | | | |
74 76 78 80 82 84 86 88 90 92 94 96 98 100Source: WNBA x-axis: %age of converted free throws
per game
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Dot Plot: How to Describe ItUnusual Features. Possibilities include--
Potential Outliers: any data value that falls out of the
pattern of the rest of the distribution. A potential outlier will lie at either extreme of the data when
it is written in order. (We will learn how to calculate actual outliers later. For now, we will call these points potential outliers)
Clusters: isolated groups of values. Clusters begin when frequency >1 and end before frequency returns to 1 or zero.
Gaps: large spaces between values. Write gap values from beginning empty space to end empty space. A gap of one number is NOT a gap.
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Fuel Consumption—Data
Fuel Consumption for 2009 Passenger Fords30 27 22 25 24 25 24 1535 35 33 49 49 10 27 1820 23 24 25 30 24 24 2418 20 25 27 24 32 29 2724 27 26 25 24 28 33 30