Titanic: Inferential Statistics From Disaster
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. The relationship between the explanatory variable Survived associated with many factors, i.e. Ticket Fare, Gender, Passenger class are described in this statistical analysis. We found that there is statistical significance between the survival rate and Ticket Fare. We have also found that the ratio of survival rate between male and female.
I've learn many things from this project. Right now i'm able to acquire a very strong knowledge in inferential statistics from secondary data analysis. In the data analysis part I've learnt so many things. Such as, Statistical hypothesis testing, correlation test between variables, regression testing, anova test, chi-square test of independence and many more. By these testing , i can able to explain my expected outcome very easily in this project. Like as, in the correlation test between price of ticket and passenger age variable I've selected randomly 337 data for analysis. As a result, i can see the correlation between age and ticket fare is 0.33. Therefore, there is sufficient evidence of linear relationship between ticket fare and passengers age with the correlation coefficient of +0.5749269 at the 5% level of significance.