Encouraging sustainable travel is a major focus for modern city planners seeking to reduce carbon emissions and improve public health. To investigate local travel behaviors, a transport researcher conducted a survey using a self-report questionnaire to gather data on residents' daily commuting choices and motivations across different residential zones.
Table 1: Overall commuting method chosen by participants
| Main commuting method | Frequency |
|---|---|
| Active travel (walking/cycling) | 130 |
| Motorised travel (car/bus/train) | 170 |
Table 2: Main commuting method by Urban Zone
| Main commuting method | Zone A (Inner City) | Zone B (Suburbs) |
|---|---|---|
| Active travel | 85 | 45 |
| Motorised travel | 65 | 105 |
Table 3: Primary motivation for choice of commute reported by participants
| Primary Motivation | Number of residents |
|---|---|
| Environmental impact | 70 |
| Travel time | 110 |
| Cost | 60 |
| Health/exercise | 40 |
| Reliability | 20 |
Identify the appropriate inferential statistical test to use in this study to analyse the data comparing main commuting method across the two urban zones, as shown in Table 2. Give reasons for your answer.
644 exam-style questions on OCR A Level Psychology Research methods and techniques. Each one has a worked solution and a mark scheme showing where the marks go.