quantitative representation
TRANSCRIPT
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Chapter 2, Part BDescriptive Statistics:
Tabular and Graphical Presentations
Crosstabulation and Scatter Diagram
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Exploratory Data Analysis The techniques of exploratory data analysis consist of simple arithmetic and easy-to-draw pictures that can be used to summarize data quickly.
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Crosstabulations and Scatter Diagrams
Crosstabulation and a scatter diagram are two methods for summarizing the data for two variables simultaneously.
Often a manager is interested in tabular and graphical methods that will help understand the relationship between two variables.
Thus far we have focused on methods that are used to summarize the data for one variable at a time.
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Crosstabulation
The left and top margin labels define the classes for the two variables.
Crosstabulation can be used when:• one variable is qualitative and the other is
quantitative,• both variables are qualitative, or• both variables are quantitative.
A crosstabulation is a tabular summary of data for two variables.
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PriceRange Colonial Log Split A-Frame Total
< $200,000> $200,000
18 6 19 12 55
45
30 20 35 15Total 100
12 14 16 3
Home Style
Crosstabulation
Example: Finger Lakes Homes
quantitative variable
quantitative variable
categorical variable
categorical variable
The number of Finger Lakes homes sold for each
style and price for the past two years is shown below.
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Crosstabulation
Insights Gained from Preceding Crosstabulation
• Only three homes in the sample are an A-Frame style and priced at $200,000 or more.
• The greatest number of homes (19) in the sample are a split-level style and priced at less than $200,000.
Example: Finger Lakes Homes
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PriceRange Colonial Log Split A-Frame Total
< $200,000> $200,000
18 6 19 12 55
45
30 20 35 15Total 100
12 14 16 3
Home Style
CrosstabulationFrequencydistribution
for theprice range
variable
Frequency distribution for
the home style variable
Example: Finger Lakes Homes
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Crosstabulation: Row or Column Percentages
Converting the entries in the table into row percentages or column percentages can provide additional insight about the relationship between the two variables.
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PriceRange Colonial Log Split A-Frame Total
< $200,000> $200,000
32.73 10.91 34.55 21.82100
100
Note: row totals are actually 100.01 due to rounding.
26.67 31.11 35.56 6.67
Home Style
(Colonial and > $200K)/(All > $200K) x 100 = (12/45) x 100
Crosstabulation: Row Percentages
Example: Finger Lakes Homes
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PriceRange Colonial Log Split A-Frame
< $200,000> $200,000
60.00 30.00 54.29 80.0040.00 70.00 45.71 20.00
Home Style
100 100 100 100Total
(Colonial and > $200K)/(All Colonial) x 100 = (12/30) x 100
Crosstabulation: Column Percentages
Example: Finger Lakes Homes
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Crosstabulation: Simpson’s Paradox
In some cases the conclusions based upon an aggregated crosstabulation can be completely reversed if we look at the unaggregated data. The reversal of conclusions based on aggregate and unaggregated data is called Simpson’s paradox.
We must be careful in drawing conclusions about the relationship between the two variables in the aggregated crosstabulation.
Data in two or more crosstabulations are often aggregated to produce a summary crosstabulation.
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The general pattern of the plotted points suggests the overall relationship between the variables.
One variable is shown on the horizontal axis and the other variable is shown on the vertical axis.
A scatter diagram is a graphical presentation of the relationship between two quantitative variables.
Scatter Diagram and Trendline
A trendline provides an approximation of the relationship.
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Scatter Diagram A Positive Relationship
x
y
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Scatter Diagram A Negative Relationship
x
y
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Scatter Diagram No Apparent Relationship
x
y
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Scatter Diagram Example: Panthers Football Team
13213
1424181730
x = Number ofInterceptions
y = Number of Points Scored
The Panthers football team is interested ininvestigating the relationship, if any, betweeninterceptions made and points scored.
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Scatter Diagramy
x
Number of Interceptions
Num
ber
of
Poin
ts S
core
d
510
15
2025
30
0
35
1 2 30 4
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Insights Gained from the Preceding Scatter Diagram
• The relationship is not perfect; all plotted points in the scatter diagram are not on a straight line.
• Higher points scored are associated with a higher number of interceptions.
• The scatter diagram indicates a positive relationship between the number of interceptions and the number of points scored.
Example: Panthers Football Team
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Scatter Diagram for the Panthers
0
5
10
15
20
25
30
35
0 1 2 3 4Number of Interceptions
Nu
mb
er o
f
Po
ints
Sco
red
.
Scatter Diagram and Trendline
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Tabular and Graphical MethodsCategorical DataCategorical Data Quantitative DataQuantitative Data
TabularMethods TabularMethods
TabularMethods TabularMethods
Graphical MethodsGraphical Methods
Graphical MethodsGraphical Methods
• Frequency Distribution• Rel. Freq. Dist.• Percent Freq. Distribution• Crosstabulation
• Bar Chart• Pie Chart
• Frequency Distribution• Rel. Freq. Dist.• % Freq. Dist.• Cum. Freq. Dist.• Cum. Rel. Freq. Distribution• Cum. % Freq. Distribution • Crosstabulation
• Dot Plot• Histogram• Ogive• Stem-and- Leaf Display• Scatter Diagram
DataData