Methodology Draft
Purpose
The goal of the study was to look at the data and get a sense of what people think about marijuana legalization in the United States
Sampling
To study the relationship between the legalization of marijuana and different races, ages, and religious beliefs. First I need to narrow down a particular area. Here's an example. We need to study the people of Bridgeport. We distinguish between race, religion, age, gender, and education. We can use a variety of methods to investigate. Finally, the data are summarized. I'm going to sample and analyze 1,000 participants. We can use social media, marijuana-related websites and distribute test reports among the population. All of these tests included my ten questions about marijuana. In case people don't want to participate. We can prepare some gifts or randomly select several lucky participants at the end to give those tips or a small amount of bonus. The data can be summarized according to the following conditions.
1. The age range is (18-30), (30-50) ,(50 +).
2. Religion.
3. The race is divided into yellow race, black race and white race.
4. Education.
The result is convenient for us to observe. First, we can know the opinions of different ages on the legalization of marijuana. Second, different beliefs and RACES view marijuana as legal. Third, the level of education on the right perception of marijuana. Through the analysis of these data. We can know intuitively about people's judgment on the legality of marijuana. For example, we can use the data to observe that people in that age group prefer marijuana and think that marijuana needs to be legalized. I put the age data in percentage form. So we can see the proportion more intuitively and get a conclusion about the age of marijuana legalization. Judging what is good or bad for something is an abstract concept. The actual results of this data can give us a more definite answer.
The number will be limited to 1,000. I'm not going to take more people after we get to the limit. These 1000 people we can think of as a small group. Using data from this small aggregate can produce similar large group data.
Reward
People don't do things for free to help us get answers. So we reward them for their answers. The finiteness of money prevents us from giving returns to everyone. So we choose to give back by extracting. It can be in the form of small amounts of money or gifts. Because of the large number of people, I think the total cost should be around 1000 dollars. We should extract 10 participants. Such gifts or amounts make people more likely to participate in the study.
Test
I have a test I made myself. This test contains ten related questions. Each of these questions is a deliberate choice. Therefore, I think these problems can help us get results and data more conveniently.
The data analysis
Data analysis should be made using Excel. The final way to present people is a pie chart. For example, use a pie percentage of age. So each of the different areas is a pie chart. This way is more convenient for people to understand and watch. Finally, according to the answers and data table of these 1000 people, we can know the number of people who support legalization and the number of people who oppose legalization.