Methodology -

To see if the proportion of users under 50 is greater than or equal to users over the age of 50, we first find those proportions. We find that it is roughly an 80%/20% split. 

From there, we perform a one tailed Z-test to test equality of proportions. Because the null hypothesis stipulates that each proportion would be 50% - as this is a binary categorical variable - we use 50% as the original proportion from which to subtract the proportion of young users. Ultimately, we find the z statistic to be well above the 1.96 threshold for a level of 95% confidence, meaning we can reject the null hypothesis.