1. 10.3 distributions

2. Number of Modes
One way to describe the shape of a distribution is by its number of peaks, or modes.
Uniform distribution—has no mode because all data values have the same frequency.

3. Any peak is considered a mode, even if all peaks do not have the same height.
A distribution with a single peak is called a single-peaked, or unimodal, distribution.
A distribution with two peaks, even though not the same size, is a bimodal distribution.
What is the following distribution?

4. The body temperature of 2000 randomly selected college students
How many modes would you expect for each of the following distributions? Why? Make a rough sketch with clearly labeled axes?
The body temperature of 2000 randomly selected college students
The attendance at Disney World during a year
The last digit of your phone number

5. Symmetry or Skewness
A distribution is if its left half is a mirror image of its right half.
A symmetric distribution with a single peak and a bell shape is known as a ________________________.

6. Symmetry or Skewness A distribution is left-skewed
(or negatively skewed) if the values
are more spread out on the left,
meaning that some low values are
likely to be outliers.
A distribution is right skewed
or positively skewed if the
values are more spread out
on the right. It has a tail
pulled toward the right.

7. Find the mean median and mode of:
What is the relationship between mean, median and mode for a normal distribution?
Find the mean median and mode of:
1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 6, 6, 7

9. What is the relationship between mean, median and mode of a left-skewed distribution?
Find the mean, median and mode of:
0, 5, 10, 20, 40, 45, 45, 50, 50, 50, 60, 60, 60, 60, 60, 60, 70, 70, 70, 70, 70, 70, 70, 70

11. What is the relationship between mean, median and mode of a right-skewed distribution?
Find the mean, median, and mode of:
20, 20, 20, 20, 20, 20, 20, 20, 30, 30, 30, 30, 30, 30, 45, 45, 45, 50, 50, 60, 70, 90

13. House prices in the United States.
For each of the following situations, state whether you expect the distributions to be symmetric, left-skewed or right-skewed.
House prices in the United States.
Weight in a sample of 30 year old men.
The heights of all players in the NBA.

14. Copyright © 2009 Pearson Education, Inc.
Which is a better measure of “average” (or of the center of the distribution) for a skewed distribution:
the median or the mean? Why?
Page 160
Copyright © 2009 Pearson Education, Inc.

15. Variation
Variation describes how widely data are spread out about the center of a data set.
How would you expect the variation to differ between times in a 5K city run and a 5K run in a state meet?

16. To summarize--
The general shape of a distribution can be discussed using:
The number of modes
Symmetry or skewness
Variation.