Introduction and Methods

Introduction
Automobiles have been a significant part of human history for centuries. They make a lot of our daily jobs more simple and achievable, such as transportation. However, the impact of internal combustion engines in cars have been causing pollution and releasing chemicals that are permanently changing our environment. It is undeniable that society is addicted to fossil fuel and the only way to change it and keep the perks of technology is to switch to electric power. There are ways to generate electricity through nature, such as capturing energy from the sun, using windmill, and so on. The key is to figure out which renewable resource is most favored by people, so it’ll be easier to build the infrastructure with everyone’s support. Aside, from knowing the renewable resources, it is important for people to get in the habit of not needing fossil fuel. Obviously, a way for people to not use fossil fuel is to not need them in the first place. Switching to electric vehicles will be a good way for the average person to forget about fossil fuel. The goal of my experiment is to figure out how likely people are to purchase an electric vehicle from each age group, and which renewable resources are the most popular.

Methods
Participants: Those who participated in the studies were randomly selected from all age groups.
Procedure: The participants are required to fill out an anonymous online survey regarding their opinions on multiple questions related to renewable resources and how many electric cars and gasoline cars they own. There is also a question asking for the environmental setting that they grew up in.

Data Analysis: The end results will be tallied and put into a graph that explains the variables and how it relates to the result.

Comments


  1. Well written, scholarly introduction, it is a great start. You definitely need more sources and a little bit more data analysis in your intro. Identify why it's a main problem and write about related experiments that have been made.

    For your data analysis, I think it should be a little longer. Put it in paragraph form so it is scholarly. It is very clear and easy to read as is, but this would help

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