Pregunta
Ages of golfers participating in a golf toumament were
,
32 , and 74 . Homework Help
a. Create a stem-and-leaf plot for this data.
b. Use the stem-and-leaf plot to create a histogram.
c. Describe the shape and spread of the data. Are there any apparent outliers?
d. Use the appropriate measure of center to describe the “typical” age of golfers at the toumament.
32 , and 74 . Homework Help
a. Create a stem-and-leaf plot for this data.
b. Use the stem-and-leaf plot to create a histogram.
c. Describe the shape and spread of the data. Are there any apparent outliers?
d. Use the appropriate measure of center to describe the “typical” age of golfers at the toumament.
Ask by West Graham. in the United States
Mar 24,2025
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Respuesta verificada por el tutor
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(a) Stem-and-Leaf Plot
- Stem 2: 25, 28, 29
- Stem 3: 30, 32, 33, 34, 34, 35, 35, 37, 38
- Stem 4: 40, 42, 43, 43, 43, 44, 44, 45, 45, 46, 47, 48
- Stem 5: 50, 51, 57
- Stem 6: 60, 61
- Stem 7: 74
(b) Histogram
- 20–29: 3 golfers
- 30–39: 9 golfers
- 40–49: 12 golfers
- 50–59: 3 golfers
- 60–69: 2 golfers
- 70–79: 1 golfer
© Shape and Spread
- Shape: The data is roughly unimodal with a slight right skew, centered around the 40s.
- Spread: Ages range from 25 to 74, with most golfers between 30 and 50.
- Outliers: Age 74 is an apparent outlier.
(d) Typical Age
The median age is 43, indicating that the typical age of golfers at the tournament is 43 years.
Solución
(a) Stem‐and‐Leaf Plot
We first list the ages in order from smallest to largest:
Next, we form the stem‐and‐leaf plot using the tens digit as the stem and the ones digit as the leaf. We create bins for the 20’s, 30’s, 40’s, etc.
-
Stem 2 (ages in the 20s):
Ages: 25, 28, 29 -
Stem 3 (ages in the 30s):
Ages: 30, 32, 33, 34, 34, 35, 35, 37, 38 -
Stem 4 (ages in the 40s):
Ages: 40, 42, 43, 43, 43, 44, 44, 45, 45, 46, 47, 48 -
Stem 5 (ages in the 50s):
Ages: 50, 51, 57 -
Stem 6 (ages in the 60s):
Ages: 60, 61 -
Stem 7 (ages in the 70s):
Age: 74
(b) Histogram
We form the histogram by grouping the ages into bins corresponding to the stems used above. Count the numbers in each bin:
- 20–29: 3 golfers
- 30–39: 9 golfers
- 40–49: 12 golfers
- 50–59: 3 golfers
- 60–69: 2 golfers
- 70–79: 1 golfer
A rough sketch of the histogram is as follows:
Frequency
12 | *****
11 | *****
10 | *****
9 | ***** <-- 30–39 has 9
8 | *****
7 | *****
6 | *****
5 | *****
4 | ***** *****
3 | ***** ***** ***** <-- 20–29: 3, 50–59: 3
2 | ***** ***** ***** <-- 60–69: 2
1 | ***** ***** ***** ***** <-- 70–79: 1
-------------------------------
20s 30s 40s 50s 60s 70s
Note: The stars (*****) represent frequency bars for each interval. The exact appearance may vary when drawn by hand or with graphing software.
© Shape and Spread of the Data
-
Shape:
The data are concentrated in the 30s and 40s. The stem-and-leaf plot and histogram show a roughly unimodal distribution with the highest frequency in the 40–49 bin. There is a slight right skew because a few higher ages (especially 74) extend the tail to the right. -
Spread:
The ages range fromto , giving a broad spread in the data. Most golfers are clustered between the ages of and . -
Outliers:
The ageappears isolated, as it is much higher than the next highest ages (the next being ). This makes an apparent outlier.
(d) Measure of Center
Because the data contain an outlier (age
), the median is the more appropriate measure of center than the mean.
With
data points, the median is the average of the
and
values in the ordered list.
The sorted data are:
The
and
values are both
. Thus, the median is
The “typical” age of golfers at the tournament is therefore
years.
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Extra Insights
To create a stem-and-leaf plot for the ages of the golfers, we need to split each age into a “stem” (the first part of the number) and a “leaf” (the last digit):
Stem-and-Leaf Plot:
2 | 5 8 9
3 | 0 4 4 5 5 7
4 | 0 2 3 3 4 4 5 6 7 8 8 9
5 | 0 1 6 7
6 | 0 1
7 | 4
Histogram:
To create a histogram based on this stem-and-leaf plot, we organize the data into bins (age ranges) and count how many golfers fall into each category:
To create a histogram based on this stem-and-leaf plot, we organize the data into bins (age ranges) and count how many golfers fall into each category:
- 20-29: 3
- 30-39: 6
- 40-49: 10
- 50-59: 4
- 60-69: 2
- 70-79: 1
Shape and Spread:
The distribution of the ages is slightly right-skewed, as there are a few older golfers (over 60) who stretch the range. The ages cluster around the 40s and 50s, which are more populated. Anomalously, the age of 74 stands out as an outlier.
The distribution of the ages is slightly right-skewed, as there are a few older golfers (over 60) who stretch the range. The ages cluster around the 40s and 50s, which are more populated. Anomalously, the age of 74 stands out as an outlier.
Measure of Center:
To find an appropriate measure of center, we can calculate the mean or the median. Given the outlier’s effect on the mean, we may generally lean towards using the median, which offers a good representation of the “typical” age of golfers in the tournament: around 44.5 years, indicating that half of the golfers are younger than this age and half are older.
To find an appropriate measure of center, we can calculate the mean or the median. Given the outlier’s effect on the mean, we may generally lean towards using the median, which offers a good representation of the “typical” age of golfers in the tournament: around 44.5 years, indicating that half of the golfers are younger than this age and half are older.
So, that’s a glimpse into the ages of golfers in the tournament! Happy analyzing!

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