Analyzing Travel to Work Survey Data

The question asks us to find the difference between the number of people who indicated they cycle to work and the total number of people who travel by either bus or car, based on the provided survey data.

Survey Findings Overview

Let's first look at the data presented in the table:

The notes provide additional context about cyclists but are not needed for this specific calculation.

Step-by-Step Calculation

1. Identify the number of people who cycled to work:

From the table, the number of people who cycled to work is 72.

2. Calculate the total number of people who travelled by either bus or car:

This requires summing the number of people who travelled by bus and those who travelled by car.

• Number of people travelling by Bus = 35
• Number of people travelling by Car = 18

Total people by bus or car = Number of Bus travellers + Number of Car travellers

\(\text{Total (Bus or Car)} = 35 + 18\)

\(\text{Total (Bus or Car)} = 53\)

So, 53 people travelled by either bus or car.

3. Calculate the difference between the number of cyclists and those who travelled by bus or car:

The question asks how many more people cycled compared to those who used bus or car. This means we subtract the number of bus/car travellers from the number of cyclists.

Difference = Number of Cyclists - Total people by Bus or Car

\(\text{Difference} = 72 - 53\)

\(\text{Difference} = 19\)

The calculation shows that 19 more people indicated they cycled to work compared with those who travelled by either bus or car.

Final Answer

Based on the calculations, there are 19 more people who cycle to work compared to those who travel by bus or car.

Revision Table: Travel Survey Data Analysis

Additional Information: Interpreting Survey Data

Interpreting survey data like this involves understanding what each piece of information represents and how different categories relate to each other. In this case, we focused on comparing specific groups (cyclists vs. bus/car users). Surveys often include additional data points (like the notes provided) that might be used for different types of analysis, such as looking at demographics (age over 65) or conditional behaviour (travel mode on rainy days). It's important to read the question carefully to determine exactly which parts of the data are relevant to the required calculation or analysis.

Basic data analysis often involves:

• Summing values for categories.
• Calculating differences between categories.
• Finding averages or percentages (though not required here).

This type of question tests your ability to extract relevant information from a dataset and perform simple arithmetic operations.