4 2 5 1 0011 0010 1010 1101 0001 0100 1011 Chapter 2: Describing Location In a Distribution Section 2.1 Measures of Relative Standing And Density Curves
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Chapter 2: Describing LocationIn a Distribution
Section 2.1
Measures of Relative Standing
And Density Curves
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Case Study
• Read page 113 in your textbook
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Where are we headed?
Analyzed a set of observations
graphically and numerically
Consider individual observations
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Consider this data set:
6 7
7 2334
7 5777899
8 00123334
8 569
9 03
How good is
this score
relative to the
others?
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Measuring Relative Standing: z-scores
• Standardizing: converting scores from the original values to standard deviation units
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Measuring Relative Standing:z-scores
A z-score tells us how many standard deviations away from the mean the original observation falls, and in
which direction.
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Practice: Let’s Do p. 118 #1
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Measuring Relative Standing:Percentiles
• Norman got a 72 on the test. Only 2 of the 25 test scores in the class are at or below his.
• His percentile is 2/25 = 0.08, or 8%. So he scores in the 8th percentile.
6 7
7 2334
7 5777899
8 00123334
8 569
9 03
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Density Curves
Histogram of the scores of all 947 seventh-grade students in Gary, Indiana.
The histogram is:
•Symmetric
•Both tails fall off smoothly from a single center peak
•There are no large gaps
•There are no obvious outliers
Mathematical ModelFor the
Distribution
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Density Curves
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Density Curves: Normal Curve
This curve is an example of a
NORMAL CURVE.
More to come later….
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Describing Density Curves
• Our measure of center and spread apply to density curves as well as to actual sets of observations.
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Proportions in a Density Curve
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Describing Density Curves
• MEDIAN OF A DENSITY CURVE:– The “equal-areas point”– The point with half the area under the curve to
its left and the remaining half of the area to its right
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Describing Density Curves
• MEAN OF A DENSITY CURVE:– The “balance point”– The point at which the curve would balance if
made of solid material
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Mean of a Density Curve
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Notation
• Use English letters for statistics– Measures on a data set– x = mean– s = standard deviation
• Use Greek letters for parameters– Measures on an idealized distribution– µ = mean– σ = standard deviation
Usually