Final answer:
A study on white males aged 35 to 64 links blood pressure with cardiovascular disease deaths over a 5-year period. Conditional row or column percentages would be the correct calculations to use here, as they would help assess the relationship between blood pressure levels and the outcomes. The correlation coefficient (r) and five-number summary are not suitable for this categorical data.
Step-by-step explanation:
In regard to the study that classifies white males aged 35 to 64 as having low blood pressure or high blood pressure and follows them for 5 years, the appropriate calculations to consider would be either A) Conditional row percentages or B) Conditional column percentages. These percentages will provide insights into the proportion of individuals who had high or low blood pressure and subsequently died from cardiovascular disease. By calculating these percentages within the categories of high or low blood pressure, we could understand how blood pressure levels correlate with the outcome. For instance, the conditional row percentages would allow us to see what percentage of individuals with high blood pressure, out of all who died from cardiovascular disease, had high blood pressure. The conditional column percentages would show the percentage of deaths due to cardiovascular disease out of the total number of individuals with high or low blood pressure.
On the other hand, C) The correlation coefficient r is not appropriate here because it measures the linear relationship between two quantitative variables, whereas the data appears to be categorical. D) The five-number summary of both variables is also not relevant because it is typically used to describe the distribution of a single quantitative variable, and in this scenario, we have categorical data.