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The data set below represents the total number of touchdowns a quarterback threw each season for 10 seasons of play:

29, 5, 26, 20, 23, 18, 17, 21, 28, 20

1. Order the values:
5, 17, 18, 20, 20, 21, 23, 26, 28, 29

2. Determine the median:
[tex]\(\frac{20 + 21}{2} = \frac{41}{2} = 20.5\)[/tex]

Calculate the measures of variability for the data set:

- The range is [tex]\(\square\)[/tex] touchdowns.
- The interquartile range is [tex]\(\square\)[/tex] touchdowns.


Sagot :

Let's calculate the measures of variability for the given data set step by step.

1. Order the Values:
The ordered data set is:
[tex]\[ 5, 17, 18, 20, 20, 21, 23, 26, 28, 29 \][/tex]

2. Median:
The middle value of the ordered data set (for 10 values) is the average of the 5th and 6th values.
[tex]\[ \frac{20 + 21}{2} = \frac{41}{2} = 20.5 \][/tex]

3. Range:
The range is the difference between the maximum and minimum values in the ordered data set.
[tex]\[ \text{Range} = 29 - 5 = 24 \][/tex]
So, the range is [tex]\(24\)[/tex] touchdowns.

4. Interquartile Range (IQR):
The interquartile range is the difference between the first quartile (Q1) and the third quartile (Q3).

- The first quartile ([tex]\(Q1\)[/tex]) is the median of the first half of the ordered data, excluding the overall median. The first half is:
[tex]\[ 5, 17, 18, 20, 20 \][/tex]
For these 5 values, the median (Q1) is the 3rd value:
[tex]\[ Q1 = 18.5 \][/tex]

- The third quartile ([tex]\(Q3\)[/tex]) is the median of the second half of the ordered data, excluding the overall median. The second half is:
[tex]\[ 21, 23, 26, 28, 29 \][/tex]
For these 5 values, the median (Q3) is the 3rd value:
[tex]\[ Q3 = 25.25 \][/tex]

- The interquartile range (IQR) is calculated as:
[tex]\[ \text{IQR} = Q3 - Q1 = 25.25 - 18.5 = 6.75 \][/tex]

Therefore:

- The range is [tex]\(24\)[/tex] touchdowns.
- The interquartile range is [tex]\(6.75\)[/tex] touchdowns.
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