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.
Berko’s Language Study
Jacques-Louis David, Study for the Death of Socrates.
A medical assistant holds a specimen container to receive a biopsy sample.
Celiac disease affects the small intestine.
The material safety data sheet (MSDS) for sulfuric acid showing the detailed technical information ...
Demographic Data for India