Title: Chapter 2: Describing Location In a Distribution
1Chapter 2 Describing LocationIn a Distribution
- Section 2.1
- Measures of Relative Standing
- And Density Curves
2Case Study
- Read page 113 in your textbook
3Where are we headed?
Last Chapter
Analyzed a set of observations graphically and
numerically
This Chapter
Consider individual observations
4Consider this data set
- 6 7
- 7 2334
- 7 5777899
- 8 00123334
- 8 569
- 9 03
How good is this score relative to the others?
5Measuring Relative Standing z-scores
- Standardizing converting scores from the
original values to standard deviation units
6Measuring Relative Standingz-scores
A z-score tells us how many standard deviations
away from the mean the original observation
falls, and in which direction.
7Practice Lets Do p. 118 1
8Measuring Relative StandingPercentiles
- 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
9Density Curves
Mathematical Model For the Distribution
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
10Density Curves
11Density Curves Normal Curve
This curve is an example of a NORMAL CURVE. More
to come later.
12Describing Density Curves
- Our measure of center and spread apply to density
curves as well as to actual sets of observations.
13Proportions in a Density Curve
14Describing 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
15(No Transcript)
16Describing Density Curves
- MEAN OF A DENSITY CURVE
- The balance point
- The point at which the curve would balance if
made of solid material
17Mean of a Density Curve
18Notation
Usually
- 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
- s standard deviation