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.
Dimensions for gathering data
A medical assistant at a QA meeting.
A typical reception area in a medical office.
A PET scan, a medical use for radioactive isotopes.
Patients Older than 60 Years of Age
Satellite data showing net primary production. Productivity is coded as red (highest) down through o