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Chapter 1: Problem 7

For each description of data, identify Who and What were investigated and the population of interest. Ian Walker, a psychologist at the University of Bath, wondered whether drivers treat bicycle riders differently when they wear helmets. He rigged his bicycle with an ultrasonic sensor that could measure how close each car was that passed him. He then rode on alternating days with and without a helmet. Out of 2500 cars passing him, he found that when he wore his helmet, motorists passed 3.35 inches closer to him, on average, than when his head was bare. \([N Y \text { Times, Dec. } 10,2006]\)

Short Answer

Expert verified
Investigated: Drivers' behavior around cyclists; Population: All motorists who pass cyclists.

Step by step solution

01

Identify the Researcher and Method

Ian Walker is the psychologist conducting the investigation. His method involved using a bicycle with an ultrasonic sensor to measure the proximity of passing cars.
02

Define What was Investigated

The investigation focused on whether wearing a helmet affects how close cars pass a cyclist鈥攖he distance between the bicycle and the passing vehicles was the primary data collected.
03

Identify Who was Investigated

The 'who' consists of the drivers of the 2500 cars that passed Ian Walker during his study. These individuals indirectly participated by their driving behavior around the cyclist.
04

Determine the Population of Interest

The population of interest is all motorists who might pass a cyclist on the road, as the study aims to generalize findings about drivers' behavior when encountering cyclists with and without helmets.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Experiment Design
When it comes to designing an experiment, the process requires thorough planning to ensure reliable and meaningful results. In Ian Walker's study, this was evident in how he structured his approach.
Experiment design involves several key elements:
  • Selection of Variables: The independent variable in Walker's experiment was whether he wore a helmet or not. The dependent variable was the distance between his bicycle and passing cars.
  • Control and Randomization: Walker alternated riding with and without a helmet on different days to minimize the influence of external factors. This helps ensure the reliability of the results.
  • Tools and Equipment: By using an ultrasonic sensor, he could accurately measure the distance between himself and passing vehicles. This precision improves the quality of the data collected.
These elements aim to reduce bias and increase the validity of the findings. The better the experiment design, the more likely it is that the conclusions drawn are reflective of true cause and effect relationships.
Psychology Research
Psychology research seeks to understand complex human behaviors and mental processes. In Walker鈥檚 case, the area of interest was the interaction between drivers and cyclists.
This form of research often involves:
  • Behavioral Observation: Walker observed drivers' behaviors when passing cyclists. Such observations provide insights into habitual actions and responses from the drivers towards helmeted and non-helmeted cyclists.
  • Hypothesis Testing: He hypothesized that helmet use might affect drivers' passing distances. Testing this hypothesis involves collecting data in an objective, systematic manner.
  • Application of Findings: Results from such research can inform public safety initiatives, like road safety campaigns or policy adjustments, ultimately aiming to improve cyclist safety.
By delving into psychological elements of everyday interactions, research like Walker's can lead to stronger, more data-driven recommendations in public safety.
Population Analysis
Understanding the population of interest is crucial in any research as it defines the scope and applicability of the study's findings. In Walker鈥檚 research on driver behavior:
  • Selection of Population: Walker focused on motorists as the population of interest. These are drivers who might encounter cyclists under different traffic conditions.
  • Sample Observations: The study involved a sample of 2500 cars, providing a substantial amount of data from which patterns could be discerned.
  • Generalization of Results: The goal is to apply findings to the broader population鈥攁 general statement about how motorists are likely to behave around cyclists with or without helmets.
A well-understood population ensures that research findings have a meaningful impact. It allows researchers to confidently make recommendations or propose interventions based on their results. Population analysis serves as the bridge from specific data to broad implementation.

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Most popular questions from this chapter

For each description of data, identify the \(W^{\prime} s,\) name the variables, specify for each variable whether its use indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units in which it was measured (or note that they were not provided). Scientists at a major pharmaceutical firm conducted an experiment to study the effectiveness of an herbal compound to treat the common cold. They exposed each patient to a cold virus, then gave them either the herbal compound or a sugar solution known to have no effect on colds. Several days later they assessed each patient's condition, using a cold severity scale ranging from 0 to \(5 .\) They found no evidence of the benefits of the compound.

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