At Fairmount Elementary School, 108 Students Were Polled About Their Mode Of Transit To School And How Far They Live From School. This Two-way Table Summarizes The Information:$[ \begin{tabular}{|l|c|c|c|} \hline & Walk To School & Ride Bus To

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Understanding Two-Way Tables: A Case Study of Fairmount Elementary School

In statistics and data analysis, two-way tables are a powerful tool for summarizing and analyzing categorical data. A two-way table, also known as a contingency table, is a table that displays the frequency distribution of two categorical variables. In this article, we will explore a two-way table that summarizes the mode of transit to school and how far students live from school at Fairmount Elementary School.

The two-way table below summarizes the information collected from 108 students at Fairmount Elementary School.

Walk to School Ride Bus to School Total
Less than 1 mile 15 20 35
1-2 miles 8 12 20
2-3 miles 5 8 13
More than 3 miles 2 5 7
Total 30 45 75

To understand the two-way table, let's break it down into its components. The table has two variables: the mode of transit to school (Walk to School or Ride Bus to School) and how far students live from school (Less than 1 mile, 1-2 miles, 2-3 miles, or More than 3 miles). The table displays the frequency distribution of these two variables.

Calculating Row and Column Totals

To calculate the row and column totals, we need to add up the frequencies in each row and column.

  • Row totals: The row totals represent the total number of students who walk to school or ride the bus to school. For example, the row total for Walk to School is 30, which means 30 students walk to school.
  • Column totals: The column totals represent the total number of students who live within a certain distance from school. For example, the column total for Less than 1 mile is 35, which means 35 students live within 1 mile of school.

Calculating Marginal Totals

The marginal totals are the row and column totals combined. For example, the marginal total for Walk to School is 30, and the marginal total for Less than 1 mile is 35.

Calculating Conditional Probabilities

Conditional probabilities are the probabilities of one event occurring given that another event has occurred. In this case, we can calculate the conditional probability of a student walking to school given that they live within a certain distance from school.

For example, the conditional probability of a student walking to school given that they live within 1 mile of school is calculated as follows:

P(Walk to School | Less than 1 mile) = (Number of students who walk to school and live within 1 mile) / (Total number of students who live within 1 mile) = 15 / 35 = 0.43

Calculating Joint Probabilities

Joint probabilities are the probabilities of two events occurring together. In this case, we can calculate the joint probability of a student walking to school and living within a certain distance from school.

For example, the joint probability of a student walking to school and living within 1 mile of school is calculated as follows:

P(Walk to School and Less than 1 mile) = (Number of students who walk to school and live within 1 mile) / (Total number of students) = 15 / 108 = 0.14

In this article, we have explored a two-way table that summarizes the mode of transit to school and how far students live from school at Fairmount Elementary School. We have calculated row and column totals, marginal totals, conditional probabilities, and joint probabilities. This case study demonstrates the importance of two-way tables in data analysis and provides a practical example of how to work with two-way tables.

This case study has several limitations. For example, the sample size is relatively small, and the data may not be representative of the entire student population. Future research could involve collecting more data from a larger sample size and exploring other variables that may affect the mode of transit to school and how far students live from school.

  • [1] Agresti, A. (2018). Statistics: The Art and Science of Learning from Data. Pearson Education.
  • [2] Johnson, R. A., & Bhattacharyya, G. K. (2019). Statistics: Principles and Methods. John Wiley & Sons.

The data used in this case study is available in the appendix. The data includes the mode of transit to school and how far students live from school for each of the 108 students.

Student ID Mode of Transit Distance from School
1 Walk to School Less than 1 mile
2 Ride Bus to School 1-2 miles
3 Walk to School 2-3 miles
... ... ...
108 Ride Bus to School More than 3 miles

Note: The data is fictional and used only for illustrative purposes.
Frequently Asked Questions: Understanding Two-Way Tables

A: A two-way table, also known as a contingency table, is a table that displays the frequency distribution of two categorical variables. It is a powerful tool for summarizing and analyzing categorical data.

A: A two-way table typically has two variables: the row variable and the column variable. The row variable is the variable that is listed along the rows of the table, and the column variable is the variable that is listed along the columns of the table.

A: To calculate row and column totals, you need to add up the frequencies in each row and column. For example, if you have a two-way table with the following data:

Walk to School Ride Bus to School
Less than 1 mile 15 20
1-2 miles 8 12
2-3 miles 5 8
More than 3 miles 2 5

The row totals would be:

  • Walk to School: 15 + 8 + 5 + 2 = 30
  • Ride Bus to School: 20 + 12 + 8 + 5 = 45

The column totals would be:

  • Less than 1 mile: 15 + 20 = 35
  • 1-2 miles: 8 + 12 = 20
  • 2-3 miles: 5 + 8 = 13
  • More than 3 miles: 2 + 5 = 7

A: Marginal totals are the row and column totals combined. For example, if you have a two-way table with the following data:

Walk to School Ride Bus to School
Less than 1 mile 15 20
1-2 miles 8 12
2-3 miles 5 8
More than 3 miles 2 5

The marginal totals would be:

  • Walk to School: 30 (row total) + 45 (column total) = 75
  • Ride Bus to School: 45 (row total) + 30 (column total) = 75
  • Less than 1 mile: 35 (row total) + 20 (column total) = 55
  • 1-2 miles: 20 (row total) + 12 (column total) = 32
  • 2-3 miles: 13 (row total) + 8 (column total) = 21
  • More than 3 miles: 7 (row total) + 5 (column total) = 12

A: Conditional probabilities are the probabilities of one event occurring given that another event has occurred. For example, if you have a two-way table with the following data:

Walk to School Ride Bus to School
Less than 1 mile 15 20
1-2 miles 8 12
2-3 miles 5 8
More than 3 miles 2 5

The conditional probability of a student walking to school given that they live within 1 mile of school is calculated as follows:

P(Walk to School | Less than 1 mile) = (Number of students who walk to school and live within 1 mile) / (Total number of students who live within 1 mile) = 15 / 35 = 0.43

A: Joint probabilities are the probabilities of two events occurring together. For example, if you have a two-way table with the following data:

Walk to School Ride Bus to School
Less than 1 mile 15 20
1-2 miles 8 12
2-3 miles 5 8
More than 3 miles 2 5

The joint probability of a student walking to school and living within 1 mile of school is calculated as follows:

P(Walk to School and Less than 1 mile) = (Number of students who walk to school and live within 1 mile) / (Total number of students) = 15 / 108 = 0.14

A: Two-way tables are commonly used in a variety of fields, including:

  • Marketing: to analyze the relationship between two variables, such as the relationship between the price of a product and the number of units sold.
  • Finance: to analyze the relationship between two variables, such as the relationship between the interest rate and the number of loans issued.
  • Healthcare: to analyze the relationship between two variables, such as the relationship between the type of medication and the number of patients who experience side effects.
  • Education: to analyze the relationship between two variables, such as the relationship between the type of teaching method and the number of students who achieve a certain level of academic achievement.

A: Some common challenges associated with two-way tables include:

  • Data quality: two-way tables require high-quality data to produce accurate results.
  • Data interpretation: two-way tables can be complex to interpret, and it can be difficult to determine the relationship between the variables.
  • Data visualization: two-way tables can be difficult to visualize, and it can be challenging to communicate the results to stakeholders.

A: To improve your skills in working with two-way tables, you can:

  • Practice working with two-way tables using real-world data.
  • Take online courses or attend workshops to learn more about two-way tables.
  • Read books or articles on two-way tables to learn more about the topic.
  • Join online communities or forums to discuss two-way tables with other professionals.