Consider the variables family income and family expenditure. Increase & decrease together Change...
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Transcript of Consider the variables family income and family expenditure. Increase & decrease together Change...
3.1 TWO-VARIABLE DATA SETS Consider the variables family income
and family expenditure. Increase & decrease togetherChange in one variable is accompanied by
change in the other variable Price and demand of a commodity are
related variablesWhen Price increases, demand decreases
and vice versa
2-VARIABLE DATA SETS If the change in one variable is
accompanied by a change in the other, then the variables are said to be correlated.Family Income & Family Expenditure are
correlatedPrice and Demand are correlated
RELATIONSHIP BETWEEN VARIABLES Correlation can tell you about the
relationship between variables. It is used to understand: Whether the relationship is positive or negative The strength of the relationship
In the case of family income & expenditure, they both increase and decrease together, so this is a positive correlation
In the case of price and demand, if one increases, the other decreases, so this is a negative correlation
ONE VARIABLE DATA
A “variable” is an attribute that can be measured
One-variable data has measures for one attribute
Recognize them when you see:Bar GraphsCircle GraphsTally Charts
One-variable data can be measured using:Mean, Median, Mode
These are “Measures of Central Tendency”
TWO-VARIABLE DATA Measures for 2 attributes Recognize them when you see
Table of ValuesOrdered PairsScatter Plots
Two-variable data can be analyzed by looking for a trend or pattern in the relationship.
This trend may be:LinearQuadraticExponential
1 OR 2 VARIABLE DATA?
Blood Types Percent of People
A 43%
B 8%
AB 3%
O 46%
Choose a type of graph to represent the data. Describe as one-variable or two-
variable data.
One Variable Data on a Pie Chart
Blood Types
A B AB O
1 OR 2 VARIABLE DATA?
Choose a type of graph to represent the data. Describe as one-variable or two-
variable data.Instructiona
l HoursDriving Test
Score
10 78%
15 85%
21 96%
6 75%
18 84%
20 45%
12 82%
4 6 8 10 12 14 16 18 20 220%
20%
40%
60%
80%
100%
120%
Driving Test Scores
Instructional Hours
Dri
vin
g T
est
Sco
res
Two-Variable Data on a Scatter Plot
3.1 HOMEWORK p. 147 #2, 4, 6, 9