Comparing these two histograms allowed researchers to draw a conclusion regarding the effect of PCSK9 mutations on LDL cholesterol levels in the blood. Consider two individuals with a plasma LDL level cholesterol of 160 mg/dL, one from the study group and one from the control group. What do you predict regarding their relative risk of developing cardiovascular disease? Explain how you arrived at your prediction. What role did the histograms play in making your prediction?

Cardiovascular disease is increased by smoking, high blood pressure, high cholesterol, a poor diet, lack of exercise, and obesity. This type of sickness affects the heart and blood vessels.

The most common cardiovascular condition, coronary artery disease (narrowed or blocked coronary arteries), can cause chest pain, heart attacks, and stroke.

The level of LDL cholesterol (low-density lipoprotein cholesterol) in the blood plays a vital role in developing atherosclerosis. Mutations in the PCSK9 gene impair the breakdown of low-density lipoprotein receptors, leading to an increase in the number of receptors on the surface of liver cells.

A high LDL cholesterol level increases our risk of heart disease and stroke. Individuals with the same amount of plasma LDL should have the same risk of cardiovascular disease.

Data that is either discrete or continuous and measured on an interval scale is summarized using a histogram. It is commonly used to visualize the key aspects of data distribution in a convenient format.