Find if Age and/or Gender have any effect on COVID casualities

Goal

From the dataset, find if there is any biasness towards Gender or Age, for COVID deaths.

Process

Convert the data into two sets and perform T-test on the results to conclude it's significance based on the p-value

Age

• The mean/average age of deaths reported is 68.58621
• The mean/average age of patients who withstood the virus, is 48.0772
• Before declaring biasness, we perform T test on 99% confidence level. To declare our Hypothesis to be true, we need the p value to be less than 0.05
• Since the p value obtained is 2.2e-16, which is ~0. We can safely declare our hypothesis to be true

Gender

• The mean/average % of deaths in male patients is 0.08461538, which approximately 8.5%
• The mean/average % of deaths in femail patients is 0.03664921, which approximately 3.7%
• Running the T test again, with 99% confidence level, we get a p value of 0.002105
• Infact, the 99 percent confidence interval is 0.007817675 - 0.088114665, which means men have from 0.78% to 8.8% higher chance of dying