Calculating the Mean Height

Oct 13, 2025 by miodeya.com 62 views

Introduction

In the world of sports, physical attributes such as height can play a significant role in determining an athlete's performance and success. As a coach, it is essential to understand the physical characteristics of the athletes under your guidance. In this article, we will analyze the results of a survey conducted by a coach on a random sample of 200 college athletes to determine their height.

The Survey Results

The survey collected data on the height of the athletes, categorized into three groups: 60-64 inches, 65-69 inches, and 70-74 inches. The frequency of each group is as follows:

Height (in.)	Frequency
60-64	14
65-69	28
70-74	53

Calculating the Mean Height

To calculate the mean height of the athletes, we need to first find the midpoint of each height group. The midpoint is calculated by taking the average of the lower and upper bounds of each group.

Height (in.)	Midpoint (in.)
60-64	62
65-69	67
70-74	72

Next, we multiply the frequency of each group by its midpoint and sum the results.

Height (in.)	Frequency	Midpoint (in.)	Frequency x Midpoint
60-64	14	62	868
65-69	28	67	1876
70-74	53	72	3816

The sum of the frequency x midpoint is 7560. To find the mean height, we divide the sum by the total number of athletes (200).

Mean Height = 7560 / 200 = 37.8 inches

Calculating the Median Height

To calculate the median height, we need to first arrange the data in order from smallest to largest. Since the data is already grouped, we can use the midpoint of each group as the representative value.

Height (in.)	Midpoint (in.)
60-64	62
65-69	67
70-74	72

Since there are 200 athletes, the median will be the midpoint of the 100th and 101st values. To find the 100th and 101st values, we need to find the cumulative frequency.

Height (in.)	Frequency	Cumulative Frequency
60-64	14	14
65-69	28	42
70-74	53	95

The 100th value falls in the 70-74 inch group, and the 101st value also falls in the 70-74 inch group. Therefore, the median height is the midpoint of the 70-74 inch group, which is 72 inches.

Calculating the Mode Height

The mode is the height that appears most frequently in the data. From the survey results, we can see that the 70-74 inch group has the highest frequency (53). Therefore, the mode height is 72 inches.

Conclusion

In conclusion, the survey results show that the mean height of the college athletes is 37.8 inches, the median height is 72 inches, and the mode height is 72 inches. These results provide valuable information for coaches and trainers to understand the physical characteristics of their athletes and make informed decisions about training and selection.

Discussion

The results of this survey have several implications for coaches and trainers. Firstly, the mean height of 37.8 inches suggests that the athletes are generally of average height. However, the median height of 72 inches indicates that there is a significant number of athletes who are taller than average. This is consistent with the fact that many sports require athletes to be of a certain height or build.

The mode height of 72 inches also suggests that there is a peak in the distribution of heights around this value. This is consistent with the fact that many sports have a "sweet spot" for height, where athletes who are slightly above or below average height may have an advantage.

Overall, the results of this survey provide valuable insights into the physical characteristics of college athletes and can inform coaching and training decisions.

Limitations

One limitation of this survey is that it only collected data on height and did not collect data on other physical characteristics such as weight or body mass index (BMI). This means that the results may not be generalizable to other populations or sports.

Another limitation is that the survey only collected data from a random sample of 200 athletes and may not be representative of the entire population of college athletes.

Future Research

Future research could build on the findings of this survey by collecting data on other physical characteristics such as weight and BMI. This would provide a more comprehensive understanding of the physical characteristics of college athletes and inform coaching and training decisions.

Additionally, future research could explore the relationship between physical characteristics and athletic performance. This would provide valuable insights for coaches and trainers to optimize training programs and selection processes.

References

[1] National Collegiate Athletic Association. (2020). NCAA Sports Sponsorship and Participation Rates Report.
[2] American College of Sports Medicine. (2018). ACSM's Sports Medicine: A Comprehensive Review.
[3] International Society of Sports Nutrition. (2018). International Society of Sports Nutrition position stand: nutrient timing.
A Coach's Survey: Q&A =========================

Q: What was the purpose of the survey?

A: The purpose of the survey was to collect data on the height of a random sample of 200 college athletes. The data was collected to provide a better understanding of the physical characteristics of college athletes and to inform coaching and training decisions.

Q: What were the results of the survey?

A: The survey results showed that the mean height of the college athletes was 37.8 inches, the median height was 72 inches, and the mode height was 72 inches.

Q: What does the mean height of 37.8 inches mean?

A: The mean height of 37.8 inches suggests that the athletes are generally of average height. However, it's essential to note that the mean is sensitive to outliers, and a small number of athletes who are significantly taller or shorter than the rest of the group can skew the mean.

Q: What does the median height of 72 inches mean?

A: The median height of 72 inches indicates that there is a significant number of athletes who are taller than average. This is consistent with the fact that many sports require athletes to be of a certain height or build.

Q: What does the mode height of 72 inches mean?

A: The mode height of 72 inches suggests that there is a peak in the distribution of heights around this value. This is consistent with the fact that many sports have a "sweet spot" for height, where athletes who are slightly above or below average height may have an advantage.

Q: What are the implications of the survey results for coaches and trainers?

A: The survey results provide valuable insights into the physical characteristics of college athletes and can inform coaching and training decisions. Coaches and trainers can use this information to optimize training programs and selection processes.

Q: What are some limitations of the survey?

A: One limitation of the survey is that it only collected data on height and did not collect data on other physical characteristics such as weight or body mass index (BMI). This means that the results may not be generalizable to other populations or sports.

Q: What are some potential future research directions?

A: Future research could build on the findings of this survey by collecting data on other physical characteristics such as weight and BMI. This would provide a more comprehensive understanding of the physical characteristics of college athletes and inform coaching and training decisions.

Q: What are some potential applications of the survey results?

A: The survey results could be used to inform coaching and training decisions, such as:

Optimizing training programs to target athletes of specific heights or builds
Selecting athletes for teams based on their physical characteristics
Developing training programs to improve the physical characteristics of athletes

Q: What are some potential benefits of the survey results?

A: The survey results could provide several benefits, including:

Improved athletic performance
Increased competitiveness
Better selection of athletes for teams
More effective training programs

Q: What are some potential challenges of the survey results?

A: The survey results could also present several challenges, including:

Limited generalizability to other populations or sports
Potential biases in the data collection process
Difficulty in interpreting the results due to the complexity of the data

Conclusion

In conclusion, the survey results provide valuable insights into the physical characteristics of college athletes and can inform coaching and training decisions. However, it's essential to consider the limitations of the survey and potential future research directions to build on the findings.