Statistics Analysis - R
Hypothesis Testing and Statistical Analysis
In the Master in Big Data and Business Analytics one of the modules I excelled and enjoyed the most was Statistics. This final project consisted mainly in perfoming a statistical analysis on a dataset composed by the BMI (Body Mass Index) of people and information if they had suffered or not a cardiovascular problem, and implement a T-test to respond if the hypothesis proves both means are equal.
Results
+7
Different statistical methods implemented
1
Hypothesis Testing using the T-test
100%
Grade on Statistics Class
Goals
Perform successfuly and rigorously a statistical analysis, analyze the different measures of centralization and dispersion, asymmetry and kurtosis studied. Likewise, obtain the box-and-whisker plot. It had to be done separately for the subsample of those who have suffered a cardiovascular accident and for those who have not, and comment on the results obtained. I also had to determine if each of the two subsamples follows a normal distribution using the appropriate test.
Finally, I had to obtain a confidence interval for the difference between the BMI means in the group of those who have suffered a cardiovascular accident and those who have not. Use the T-test to test the hypothesis that both means are equal. Explain what conditions must be met in order to apply this contrast and determine if they are met.