course: just 3900 introductory statistics for criminal justice chapter 3: central tendency peer...
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COURSE: JUST 3900INTRODUCTORY STATISTICS
FOR CRIMINAL JUSTICEChapter 3: Central Tendency
Peer Tutor SlidesInstructor:
Mr. Ethan W. Cooper, Lead Tutor© 2013 - - PLEASE DO NOT CITE, QUOTE, OR REPRODUCE WITHOUT THE
WRITTEN PERMISSION OF THE AUTHOR. FOR PERMISSION OR QUESTIONS, PLEASE EMAIL MR. COOPER AT THE FOLLWING: [email protected]
Key Terms: Don’t Forget Notecards
Central Tendency (p. 73)Mean (p. 74) Weighted Mean (p. 77) Median (p. 83) Mode (p. 87) Unimodal (p. 88) Bimodal (p. 88) Multimodal (p. 88) HINT: Review distribution shapes from Ch. 2!
Key Formulas
Population Mean: Sample Mean: Overall (Weighted) Mean:
Mean
Question 1: Find the mean for the sample of n=5 scores: 1, 8, 7, 5, 9
Mean
Question 1 Answer: M = Σ X
n M = 1+8+7+5+9
5 M = 30
5 M = 6
Mean
Question 2: A sample of n=6 scores has a mean of M=8. What is the value of Σ X for this sample?
Question 2 Answer: M = Σ X
n 8 = Σ X
6 Σ X = 48
Mean
Mean
Question 3: One sample has n=5 scores with a mean of M=4. A second sample has n=3 scores with a mean of M=10. If the two samples are combined, what is the mean for the combined sample?
Mean
Question 3 Answer:
Remember: is calculated by is calculated by
Question 4: A sample of n=6 scores has a mean of M=40. One new score is added to the sample and the new mean is found to be M=35. What can you conclude about the value of the new score?
a) It must be greater than 40.
b) It must be less than 40.
Mean
Mean
Question 4 Answer: B) It must be less than 40. A score higher than 40
would have increased the mean.
Mean
Question 5: Find the values for n, Σ X, and M for the following sample:
X f
5 1
4 2
3 3
2 5
1 1
Mean
Question 5 Answer: n = 1+2+3+5+1 n = 12 Σ X = 5+4+4+3+3+3+2+2+2+2+2+1 Σ X = 33 M = 33
12 M = 2.75
Mean
Question 6: Adding a new score to a distribution always changes the mean. True or False?
Mean
Question 6 Answer: False. If the score is equal to the mean, it does not
change the mean.
Mean
Question 7: A population has a mean of μ = 40.a) If 5 points were added to every score, what would be the value
for the new mean?
b) If every score were multiplied by 3, what would be the value of the new mean?
Mean
Question 7 Answer:
a) The new mean would be 45. When a constant is added to every score, the same constant is added to the mean.
b) The new mean would be 120. When every score is multiplied (or divided) by a constant, the mean changes in the same way.
Mean
Question 8: What is the mean of the following population?
Mean
Question 8 Answer: μ = 7
Mean
Question 9: Using the scores from question 8, fill in the following table.
Mean
Question 9 Answer:
4
4
1
1
2
Below
Below
Below
Above
Above
Median
Question 10: Find the median for each distribution of scores:
a) 3, 4, 6, 7, 9, 10, 11
b) 8, 10, 11, 12, 14, 15
Median
Question 10 Answers:a) The median is X = 7
b) The median is X = 11.5
Median
Question 11:The following is a distribution of measurements for a continuous variable. Find the precise median that divides the distribution exactly in half.
Median
Question 11 Answer:
Count 8 boxes
Median = 6.83
1
1/3
2/3
6
5
2 3 4
7
5 6
4 2
3 1
Median
Question 11 Explanation: To find the precise median, we first observe that the distribution
contains n = 16 scores. The median is the point with exactly 8 boxes on each side. Starting at the left-hand side and moving up the scale of measurement, we accumulate a total of 7 boxes when we reach a value of 6.5. We need 1 more box to reach our goal of 8 boxes (50%), but the next interval contains 3 boxes. The solution is to take a fraction of each box so that the fractions combine to give you one box. The fraction is determined by the number of boxes needed to reach 50% (numerator) and the number that exists in the interval (denominator).
Median
Question 11 Explanation: For this example, we needed 1 out of the 3 boxes in the interval,
so the fraction is 1/3. The median is the point located exactly one-third of the way through the interval. The interval for X = 7 extends from 6.5 to 7.5. The interval width is one point, so one-third of the interval corresponds to approximately 0.33 points. Starting at the bottom of the interval and moving up 0.33 points produces a value of 6.50 + 0.33 = 6.83. This is the median, with exactly 50% of the distribution (8 boxes) on each side.
Mode
Question 12: What is the mode(s) of the following distribution? Is the distribution unimodal or bimodal?
Mode
Question 12 Answers:
The modes are 2 and 8
The distribution is bimodal.
Note: While this is a bimodal distribution, both modes have the same frequency. Thus, there is no “minor” or “major” mode.
Selecting a Measure of Central Tendency
Question 13: Which measure of central tendency is most affected if one extremely large score is added to a distribution? (mean, median, mode)
Selecting a Measure of Central Tendency
Question 13 Answer: Mean
Selecting a Measure of Central Tendency
Question 14: Why is it usually inappropriate to compute a mean for scores measured on an ordinal scale?
Selecting a Measure of Central Tendency
Question 14 Answer: The definition of the mean is based on distances (the mean
balances the distances) and ordinal scales do no measure distance.
Selecting a Measure of Central Tendency
Question 15: In a perfectly symmetrical distribution, the mean, the median, and the mode will all have the same value. (True or False)
Selecting a Measure of Central Tendency
Question 15 Answer: False, if the distribution is bimodal.
Selecting a Measure of Central Tendency
Question 16: A distribution with a mean of 70 and a median of 75 is probably positively skewed. (True or False)
Selecting a Measure of Central Tendency
Question 16 Answer: False. The mean is displaced toward the tail on the left-hand
side.
Central Tendency and Distribution Shape
Graphs make life so much easier!Symmetrical Distributions
Positively Skewed Distribution
Negatively Skewed Distribution
Notice how the means follow the outliers
Note: Median usually falls between meanand mode.
Frequently Asked Questions
Interpolation Real Limits Median for Continuous Variables Frequency Distribution Cumulative Distributions Weighted Mean
Frequently Asked Question FAQs
How do I find the median for a continuous variable?
Frequently Asked Questions FAQs
Step 1: Count the total number of boxes.
Step 2: How many boxes are necessary to reach 50%? Step 3: Count the necessary number of boxes starting
from the left (in this case 8).
1 2 3 4 5 6
7
8
9
10
11
12
13
14
16
15
16 boxes50% of 16is 8.
Frequently Asked Questions FAQs
1 2 3 4 5 6
7
Uh-oh!What now?
• Step 4: We need one more box to reach 8, but there are three boxes over the interval spanning 6.5 – 7.5. Thus, we need 1/3 of each box to reach 50%.
1/3 2/3
7.56.5
Frequently Asked Questions FAQs
Step 5: We stopped counting when we reached seven boxes at the interval X = 6, which has an upper real limit of 6.5. We want 1/3 of the boxes in the next interval, so we add 6.5 + (1/3) = 6.83.
Median = 6.83
Frequently Asked Questions FAQs
Frequently Asked Questions FAQs
How do I calculate the weighted mean? Compute the weighted mean for two sets of scores. The first set
consists of n = 12 scores and has a mean of M = 6. The second set consists of n = 8 scores and has a mean of M = 7.
Step 1: Find for both samples.
Plug numbers into the formula