The p-value when rounding up, came to 0, resulting in individuals below the age of 65+ having a random chance of death outcomes due to influenza as the significance level of 0.05 was not exceeded, compared to a population 65+ older with a higher mortality rate. "We can confidently reject the null hypothesis

To investigate further, we compared the correlation between two age groups. We tested our research hypothesis; we used inferential statistics to transform it

into statistical statements that could be analyzed confidently. We combined samples from two age groups: <1-24 Death Total and 65+ Death Total. T-test results

in finding if there is a significant difference between the two age groups.

Our calculation of coefficients resulted in a correlation closer to 1, indicating a strong connection between the total number of deaths and the total population of people aged 65 and over.

It is a fact that an increase in the population of individuals aged 65 and older is directly linked to a higher occurrence of mortality related to influenza.