1. Lecture 17 Sections 5.1 – 5.2 Wed, Feb 14, 2007
Measuring Center
Lecture 17
Sections 5.1 – 5.2
Wed, Feb 14, 2007

2. Measuring the Center
Often, we would like to have one number that that is “representative” of a population or sample.
It seems reasonable to choose a number that is near the “center” of the distribution rather than in the left or right extremes.
But there is no single “correct” way to do this.

3. Measuring the Center Mean – the simple average of a set of numbers.
Median – the value that divides the set of numbers into a lower half and an upper half.
Mode – the most frequently occurring value in the set of numbers.

4. Measuring the Center
In a unimodal, symmetric distribution, these values will all be near the center.
In skewed distributions, they will be spread out.

5. The Mean Why is the average usually a good measure of the center?
If we have only two numbers, the average is half way between them.
What if we have more than two numbers?
The mean balances the “deviations” on the left with the “deviations” on the right.

6. The Mean 1 2 3 4 5 6 7 8 10 9

7. The Mean
Average 1 2 3 4 5 6 7 8 10 9

8. The Mean
Average -5 -2 1 2 3 4 5 6 7 8 10 9

9. The Mean
Average +4 -5 +2 -2 +1 1 2 3 4 5 6 7 8 10 9

10. The Mean
We use the letter x to denote a value from the sample or population.
The symbol  means “add them all up.”
So,
 x
means add up all the values in the population or sample (depending on the context).
Then the sample mean is

11. The Mean
We denote the mean of a sample by the symbolx, pronounced “x bar”.
We denote the mean of a population by , pronounced “mu” (myoo).
Therefore,

12. TI-83 – The Mean Enter the data into a list, say L1.
Press STAT > CALC > 1-Var Stats.
Press ENTER. “1-Var-Stats” appears.
Type L1 and press ENTER.
A list of statistics appears. The first one is the mean.

13. Examples Use the TI-83 to find the mean of the following data. 2.946
2.335
3.418
1.890
2.731
3.855
1.344
2.126
2.881
2.542
2.504
3.367
1.950
2.392
2.443
3.053

14. The Median 1 2 3 4 5 6 7 8 10 9

15. The Median
Median 1 2 3 4 5 6 7 8 10 9

16. The Median
Median – The middle value, or the average of the middle two values, of a sample or population, when the values are arranged from smallest to largest.
The median, by definition, is at the 50th percentile.
It separates the lower 50% of the sample from the upper 50%.

17. The Median
When n is odd, the median is the middle number, which is in position (n + 1)/2.
When n is even, the median is the average of the middle two numbers, which are in positions n/2 and n/2 + 1.

18. The Median
Suppose we surveyed a two groups of households and found the following numbers of children:
Group 1: 3, 2, 5, 2, 6.
Group 2: 2, 3, 0, 2, 1, 0, 3, 0, 1, 4.
Find the median number of children in each group.

19. TI-83 – The Median
Follow the same procedure that was used to find the mean.
When the list of statistics appears, scroll down to the one labeled “Med.” It is the median.

20. TI-83 – The Median Use the TI-83 to find the medians of the samples
3, 2, 5, 2, 6
2, 3, 0, 2, 1, 0, 3, 0, 1, 4

21. The Median vs. The Mean
If the data are strongly skewed, then the median is generally to give a more representative value.
If the data are not skewed, then the mean is usually preferred.

22. The Mode
Mode – The value in the sample or population that occurs most frequently.
The mode is a good indicator of the distribution’s central peak, if it has one.

23. Mode
The problem is that many distributions do not have a peak or they have several peaks.
In other words, the mode does not necessarily exist or there may be several modes.

24. Weighted Means Find the average number of children for each group.

25. Weighted Means The averages are
Group 1: x1 = 3.6.
Group 1: x2 = 2.6.
How could we combine the two averages to get the average of all the families together?

26. Mean, Median, and Mode
If a distribution is symmetric, then the mean, median, and mode are all the same and are all at the center of the distribution.

27. Mean, Median, and Mode
However, if the distribution is skewed, then the mean, median, and mode are all different.

28. Mean, Median, and Mode
However, if the distribution is skewed, then the mean, median, and mode are all different.
The mode is at the peak.
Mode

29. Mean, Median, and Mode
However, if the distribution is skewed, then the mean, median, and mode are all different.
The mean is shifted in the direction of skewing.
Mode
Mean

30. Mean, Median, and Mode
However, if the distribution is skewed, then the mean, median, and mode are all different.
The median is (typically) between the mode and the mean.
Mode
Median
Mean