Data and Distribution You will review/learn: ways of organizing discrete data recognize outlier...
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Transcript of Data and Distribution You will review/learn: ways of organizing discrete data recognize outlier...
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Data and Distribution
You will review/learn:
• ways of organizing discrete data
• recognize outlier
• describe distribution of data set
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Length of Calls in Minutes
Number of Calls
Tally Frequency
3 / 1
4 /// 3
5 0
6 // 2
7 //// 5
8 //// // 7
9 //// 4
10 / 1
Tally Chart
Look at this tally chart.
How many 7 minute phone calls were made?
5 phone calls
How do you know?
There were 5 tally marks in the 7 minute row so the frequency was 5.
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X
X
X X
X X X
X X X X
X X X X X
X X X X X X X
3 4 5 6 7 8 9 10
Number of Phone Calls
Length of Calls in Minutes
Look at this line plot. How many 10 minute phone calls took place?
1 phone call
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Where does most of the data cluster? What does this tell you?
Most of the date clusters from 7 – 9 minutes. Most of the phone calls were 7 to 9 minutes long.
Where is the gap in the line plot? What does this tell you?
There is a gap at 5. No one made a phone call lasting 5 minutes.
X
X
X X
X X X
X X X X
X X X X X
X X X X X X X
3 4 5 6 7 8 9 10Length of Calls in Minutes
Number of Phone Calls
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Stem and Leaf Plot
A Stem and Leaf Plot is a method of organizing intervals or groups of data.
Here is an example:
Key: 3 | 6 = 36
A stem and leaf plot allows you to see easily the greatest, least, and median values in a set of data. It gives you a quick way of checking how many pieces of data fall in various ranges. It also lets you see the value of every piece of data.
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How many students’ heights were measured?
19 students
How many students are taller than 56 inches?
10 students
What is the height of the tallest student?
63 inches
What is the mode of the students’ heights?
57 inches
What is the range of the students’ heights?
16 inches
What is the median student height?
57 inches
4 7 8 8 9 9
5 2 4 4 5 7 7 7 8 9 9
6 0 0 1 3
Key: 4 l 7 means 47 inches
Look at this Stem and Leaf Plot and answer
the questions.
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Draw your own Stem and Leaf Plot
Here is the information for your Stem and Leaf Plot.
Yesterday, Tina’s teacher kept track of how many ounces of milk each student drank in one day. Here is the data she collected: 12, 20, 8, 32, 24, 32, 36, 21, 28, 32.
Don’t forget a title for your graph. Remember to label!
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Milk Drunk in One Day
0 8
1 2
2 0 1 4 8
3 2 2 2 6
Key: 1 l 2 means 12 ounces
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04/10/23 9
Outliers
• data values that are either much larger or much smaller than the general body of data
• appears separated from the body of data on a frequency graph
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04/10/23 10
2 3 4 5 6 7
1520
2530
35
x
y
2 3 4 5 6 7
1520
2530
35
x
y
0 1 2 3 4 5 6
05
1015
2025
30
x
y
0 1 2 3 4 5 6
05
1015
2025
30
x
y
No outliers
No high-leverage
points
Low leverage
Outlier: big residual
High leverag
eoutlier High-
leverage outlier
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04/10/23 11
Example: outlier (3D)
3000 3500 4000 4500 5000 5500 6000
200
250
300
350
400
450
500
550
280
300
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360
380
400
percap
un
de
r18ed
uc
High leverage
point
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The Normal Distribution
CA
If the three histograms shown below represent the marks scored by students sitting 3 different tests, comment briefly on the difficulty level of each test.
Left-Skewed
Right-Skewed
Symmetrical
Easy
Difficult
In test A most students scored high marks.
In test B the marks are evenly distributed.
B Normal
In histogram B, most students found the
test neither easy nor
difficult.
This type of distribution occurs often and is known as the NORMAL distribution. It is characterized by the bell-shaped curve that can be drawn through the top of each bar.
In test C most students scored Low marks.
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The Normal Distribution
Which of the distribution below are approximately, normal, right or left skewed.A B C
D E F
G H I
Right Skewed
Right Skewed
Left SkewedNormal
Normal
Normal
Neither
Neither
Neither