Music in Our Life

In this project, I worked with 2 of my friends. The project was part of the course "Statistics in Engineering", it was required from us to find a real-life problem or an interesting topic, after that, we should apply what we learn from the course into our project, for example (Confidence Interval, Hypothesis Testing, Goodness of fit, Linear Regression Models, etc.). Moreover, it was required to do the analysis in the R Studio programming language. This is considered one of the best projects I have done because I learned this topic very well and I knew exactly what to do in each part of the project, and in the end, we got 100 from it.

We started by deciding the idea of the project, our final decision was to make an analysis related to music, and we selected interesting and common questions. We created 2 google surveys in English and Turkish languages for collecting the numbers to keep the results at the highest level of credibility as we can’t confirm the authenticity of the numbers on the internet. Then we analyzed these results. Here are the questions that we decided to work with:

1. How many hours per day do you listen to music?
2. From a 1-100 scale, how much music make you happy?
3. How much do you spend on music in TL per month?
4. How many songs do you have in your own playlists?
5. What was your age when you started listening to music much?
6. Which time do you prefer listening to music?

We worked on Excel as well for some visualizations. Our population data was around 100 therefore we took 25 samples. We did the data summaries, correlations, point estimations, confidence interval, hypothesis testing, the goodness of fit, and several linear regression models. At the end of this project, our results were sufficient and reasonable, for example, we found the happiness scale increases with the increase of average listening to music, also we found in internet Turkish people spend 1.21 hours listening to music and we approved that with our hypothesis testing results.