A medical study examined data on patients with cardiovascular disease who were currently non-smokers and those who were current smokers. Population 1 were smokers and population 2 were non-smokers. After data analysis, the 95% confidence interval for the difference in proportions is 0.015 +/- 0.011. The most accurate interpretation is...
◦ We are 95% confident that the difference in the proportion of smokers compared to nonsmokers is between -0.004 and 0.026. There is not a significance difference in the proportions.
◦ We are 95% confident that the difference in the proportion of smokers compared to nonsmokers is between 0.004 and 0.026. There is a significance difference indicating higher cardiovascular disease amongst smokers.
◦ We are 95% confident that the proportion of smokers compared to non-smokers is between 0.004 and 0.026.
◦ We are 95% confident that the interval of the difference in the proportions contains zero. There is not a significance difference between smokers and non-smokers.
Summary of US Census Data
Symptoms of Alzheimer’s Disease
Goiter as commonly seen in autoimmune thyroid disease.
Celiac disease affects the small intestine.
Survivorship curves. Blue lines are theoretical curves. Red dots are data from field studies.
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