Introduction
Inference statistical analysis is a way to make a reasonable conclusion or guess about the population. There are two types of statistical inference:
- Estimation
- Hypothesis testing
In this project, we find the conclusion of data using inference statistical analysis.
Project's Description
For this project, we decided to find a relation between car weight and acceleration. Hence, we come out with Car Weight and Acceleration Analysis as the title.
We used dataset from Internet (Source: Project datasets (telecom-paristech.fr)) as sample data. 4 types of analysis were tested with data:
- Hypothesis testing (1 sample)
- Correlation
- Regression
- Chi-Square test of independence
We used programming language, R to get the result for each analysis. After finished, we wrote a project report and produced a video as way to present our findings.
Project's Video Presentation
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Project's Report
Project's Reflection
This project is successfully completed by the due date. We have break down the progress into few stages and complete them one by one. The first stage for this project is to find the suitable dataset before proceed with the analysis. It is not an easy task because we need to get a dataset that can be analyzed in any types of analysis. I realized that to make our work easier, we need to have a clear idea on what we are doing and our focus. Thus, we can get a guidance and illustrate how the final result turn out. After that, we proceed to inference statistical analysis (hypothesis testing, correlation, regression and Chi-Square test of independence). I gained knowledge and experience using R language. As it was our first time using this tool, it was a bit hard to adapt, but at the end, we managed to produce a report that mainly used R language for data analysis.
Apart from that, I learned how to read a data and make a conclusion based on analysis. As for this project, we used descriptive statistical analysis to evaluate every each of the data. This have taught me that I should not make conclusion only based on the raw data, instead I need to conduct an analysis to prove any statement because we want to interpret them in a meaningful way. Hence, we should look into another perspective of data analysis to gain a better understanding of the data. Then, we proceed with report writing about the analysis. Here, we learned how to interpret the analysis from R language and explain it by ourselves. I gained a new knowledge from other sources and better understanding about the topic while completing this project. After finishing it, we checked the report thoroughly firstly, before sent it together with video presentation about this project.
At the end of this project, I realized that it is not easy to get what we want. I learned that we must put more effort to get the best result and not using shortcut to escape from any problem. With this, I can be aware of any mistakes I did and make improvement. I believe all the experience I gained during finishing this project can help me to produce a better outcome. In future, I can implement all lesson I learned and boost up my skills especially on statistics and probability.