This case study shows the statistical data analysis on whether which car type has the better performance and relationship between selling prices with other factors due the secondary data I managed. I gathered my data from an online website called kaggle.com. It provided the data set; contain information about used cars listed on cardekho.com website on the web that sells cars. This collected data sets was involved about 98 different car type. I used R studio to carry out the statistical data analysis on the data set.
I have made a data set first to complete my case study. I have done hypothesis test and while doing that, I’ve made a box plot and also made R calculation for T test. I have found enough evidence to conclude that the mean manufacture date of auto transmission car type is exactly same from the mean manufacture date of manual transmission car type.
We cannot reject the null hypothesis. I have also done the R calculation for correlation and made scatter plot of kilometers driven and selling price. We cannot see any relationship between selling price and the kilometers driven in the scatter plot.
I have also calculated the R calculation for regression. The different car models are selected for the Anova test.
We will reject the null hypothesis. Therefore Mean selling price is same for all car type we can conclude that.
My purpose this project was to determine the significant differences between the Means of selling price in each car type. I am satisfied doing my research and completing the project.