# data[].attributes.body
Does the type of music affect ones driving ability?

# data[].attributes.body
The explanatory variable in this experiment is the type of music (no music, rap, country, metal) playing in the car while the driver is on the course.

# data[].attributes.body
We will be assigning 4 different genres of music to 48 volunteers . The volunteers driving will be going around a set up corse that will vary with every genre of music so they do not memorize the corse.

# data[].attributes.body
Because every subject is driving to each type of music, they will drive the course four times. They could end up learning the course and getting better, and therefore swaying the results. People could also be biased in the type of music they enjoy listening to. If they enjoy a certain type of genre it could sway the results because it could measure enjoyment instead of focus.

# data[].attributes.body
With a sample size of 48 our margin of error will be at 1.4%. This will be a good size sample group because our margin of error is so low. This shows that our experiment should be a good representation of the population of drivers.

# data[].attributes.body
Our subjects will be getting into the car not knowing the corse that is set up for each turn. Each time they enter a car they will also not know what genre of music they will be given. It will be a double blind because the instructor in the car with them will not know what the subject is given as well.

# data[].attributes.body
Out of the 48 people who volunteered we split them up by gender and age. This was to separate by skill and experience level and also the gender bias that is put on women drivers.

# data[].attributes.body
48 people will be taken from an online ad to participate in the study. It will be volunteer based, but participants are promised money for participation. These people will be random and of all different ages/genders/ driving backgrounds.

# data[].attributes.body
We will replicate this experiment with a new group of volunteers to show that our results are valid and reliable.

# data[].attributes.body
Every subject will receive all four treatments. The control group will be the vehicle with no music playing.

# data[].attributes.body
We will receive inquiries from an online ad of people who want to participate. They will be given numbers 01- however sign up and then placed in a random number generator to conduct a SRS.

# data[].attributes.body
Our treatment group will test drive each car for each genre including the control car. Because they will be trying each treatment, it is a crossover design. This will make our data more reliable because we will have more data with less people.

# data[].attributes.body
Each participant was promised $100 for their participation in the study. We paid put $4800 to the volunteers to do the study, and also had to rent out 4 cars and space for a track which cost the company $5000. It was a relatively expensive experiment at $9800. There were hidden expensis in the experiment with renting space, cars, and paying for equipment.

# data[].attributes.body
Our results were published and sent to all dealers to get data on the correlation between car’s audio systems and a drivers focus. They could invent new safety features to lower audio sound for drivers driving at high speeds. This data could be very valuable in the automotive safety community because it could tell them what causes drivers to drive certain ways.

# data[].attributes.body
At the end of all of the tests, the average time for people to complete the course for the control group was 1:43 seconds. The average time for the country music genre group was slightly higher at 1:51 seconds, and the rap genre group was much higher at 2:03 seconds. The metal genre had the longest average time at 2:15. This data shows that no music, or our control group, was the most focused drivers and therefore, they were able to get the best average time compared to the other genres.

# data[].attributes.body
We randomized all 48 people and the results of the randomized difference was 3 seconds, and the actual difference between results was an average of 4 seconds, so it is not statistically significant because it could randomly have a difference of 4 seconds.

# data[].attributes.body
At the end of the experiment, after every subject has driven the course listening to all four types of music, their performance based on time and accuracy of driving the course will be ranked. The averages for each music type will be calculated to see the results of the experiment.