Percentage of Students Who Use Each Mode of Transportation

Oct 13, 2025 by pinkandtrash.com 114 views

Introduction

The table provided shows the information about how 150 students travel to school. The table categorizes the students into three modes of transportation: walking, bus, and car. The table also provides the number of girls and boys who use each mode of transportation. In this article, we will analyze the table and provide insights into the data.

Understanding the Table

The table is divided into two sections: girls and boys. Each section has three columns: walk, bus, and car. The number of students who use each mode of transportation is listed in the corresponding column. The total number of students who use each mode of transportation is also listed at the bottom of each section.

	Walk	Bus	Car	Total
Girls	22	33	17	72
Boys	24	41	13	78

Analyzing the Data

From the table, we can see that the total number of students who use each mode of transportation is 72 for girls and 78 for boys. This means that there are 6 more boys than girls who use transportation to school.

Walking to School

The number of girls who walk to school is 22, which is 30.5% of the total number of girls. The number of boys who walk to school is 24, which is 30.8% of the total number of boys.

Using the Bus

The number of girls who use the bus is 33, which is 45.8% of the total number of girls. The number of boys who use the bus is 41, which is 52.6% of the total number of boys.

Using a Car

The number of girls who use a car is 17, which is 23.6% of the total number of girls. The number of boys who use a car is 13, which is 16.7% of the total number of boys.

Discussion

The data from the table provides insights into the transportation habits of 150 students. The results show that the majority of students use the bus to get to school, with 45.8% of girls and 52.6% of boys using this mode of transportation. Walking to school is the second most popular mode of transportation, with 30.5% of girls and 30.8% of boys using this method.

Mathematical Analysis

To further analyze the data, we can use mathematical concepts such as percentages and ratios. For example, we can calculate the percentage of students who use each mode of transportation.

Percentage of Students Who Use Each Mode of Transportation

Mode of Transportation	Percentage of Girls	Percentage of Boys
Walk	30.5%	30.8%
Bus	45.8%	52.6%
Car	23.6%	16.7%

Ratio of Students Who Use Each Mode of Transportation

Mode of Transportation	Ratio of Girls to Boys
Walk	22:24 = 0.92:1
Bus	33:41 = 0.80:1
Car	17:13 = 1.31:1

Conclusion

The table analysis provides insights into the transportation habits of 150 students. The results show that the majority of students use the bus to get to school, with 45.8% of girls and 52.6% of boys using this mode of transportation. Walking to school is the second most popular mode of transportation, with 30.5% of girls and 30.8% of boys using this method. The data from the table can be used to inform decisions about transportation infrastructure and policies.

Recommendations

Based on the analysis of the table, the following recommendations can be made:

Increase Bus Services: The data shows that the majority of students use the bus to get to school. Therefore, increasing bus services can help to reduce congestion and make transportation more efficient.
Improve Walking Infrastructure: The data shows that walking to school is the second most popular mode of transportation. Therefore, improving walking infrastructure such as sidewalks and bike lanes can help to make walking safer and more convenient.
Promote Carpooling: The data shows that the number of students who use a car is relatively low. Therefore, promoting carpooling can help to reduce the number of cars on the road and make transportation more efficient.

Limitations

The analysis of the table has some limitations. For example:

Sample Size: The sample size of 150 students may not be representative of the entire population.
Data Quality: The data may be subject to errors or biases.
Context: The data may not be taken in context, and may not reflect the actual transportation habits of students.

Future Research

Future research can build on the analysis of the table by:

Collecting More Data: Collecting more data on transportation habits can help to provide a more accurate picture of the transportation habits of students.
Analyzing Other Factors: Analyzing other factors such as age, income, and education level can help to provide a more nuanced understanding of the transportation habits of students.
Developing Models: Developing models that can predict transportation habits can help to inform decisions about transportation infrastructure and policies.

Introduction

The table analysis provided insights into the transportation habits of 150 students. However, there may be some questions and concerns that readers may have. In this article, we will address some of the frequently asked questions (FAQs) related to the table analysis.

Q: What is the significance of the table analysis?

A: The table analysis provides insights into the transportation habits of 150 students. It helps to identify the most popular modes of transportation, the percentage of students who use each mode, and the ratio of students who use each mode.

Q: What are the limitations of the table analysis?

A: The table analysis has some limitations, including a sample size of 150 students, which may not be representative of the entire population. Additionally, the data may be subject to errors or biases, and may not reflect the actual transportation habits of students.

Q: How can the table analysis be used to inform decisions about transportation infrastructure and policies?

A: The table analysis can be used to inform decisions about transportation infrastructure and policies by identifying the most popular modes of transportation and the percentage of students who use each mode. This information can be used to plan and develop transportation infrastructure, such as bus routes and bike lanes, that meet the needs of students.

Q: What are some potential recommendations based on the table analysis?

A: Some potential recommendations based on the table analysis include increasing bus services, improving walking infrastructure, and promoting carpooling. These recommendations can help to reduce congestion, make transportation more efficient, and promote a healthier and more sustainable transportation system.

Q: How can the table analysis be used to develop models that predict transportation habits?

A: The table analysis can be used to develop models that predict transportation habits by analyzing the data and identifying patterns and trends. This information can be used to develop models that can predict transportation habits and inform decisions about transportation infrastructure and policies.

Q: What are some potential future research directions based on the table analysis?

A: Some potential future research directions based on the table analysis include collecting more data on transportation habits, analyzing other factors such as age, income, and education level, and developing models that can predict transportation habits.

Q: How can the table analysis be used to promote a healthier and more sustainable transportation system?

A: The table analysis can be used to promote a healthier and more sustainable transportation system by identifying the most popular modes of transportation and the percentage of students who use each mode. This information can be used to promote walking, cycling, and other forms of active transportation, and to reduce the reliance on fossil fuels.

Q: What are some potential challenges and opportunities related to the table analysis?

A: Some potential challenges related to the table analysis include the limitations of the sample size and the potential for errors or biases in the data. However, there are also opportunities to use the table analysis to inform decisions about transportation infrastructure and policies, and to promote a healthier and more sustainable transportation system.

Conclusion

The table analysis provides insights into the transportation habits of 150 students. It helps to identify the most popular modes of transportation, the percentage of students who use each mode, and the ratio of students who use each mode. The table analysis can be used to inform decisions about transportation infrastructure and policies, and to promote a healthier and more sustainable transportation system. However, there are also limitations and challenges related to the table analysis, and future research directions include collecting more data, analyzing other factors, and developing models that can predict transportation habits.