Based on the given study results, compute a 95% confidence interval (CI) for the true mean difference in headache severity scores (at 3 months post-randomization) for the Acupuncture group compared to the Control group. Is this difference in means statistically significant? Yes, because the 95% CI does not include 1. No, because the 95% CI includes 1. Yes, because the 95% CI does not include 0. No, because the 95% Cl includes 0. This 95% CI can't be computed because I was only given the standard error of the mean difference for the Control group compared to the Acupuncture group.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
1.A randomized, controlled study was conducted to evaluate the potential benefits/harm of using acupuncture to treat migraine headaches. Researchers selected a representative sample of 326 migraine sufferers to participate in the study. Subjects in the study sample were randomized to either receive acupuncture treatments, or to a control group that did not receive any treatment. The outcome of interest was the self-reported headache severity scores recorded three months after randomization (on a scale of 0 to 100, higher scores = greater severity). The following graphic compares the distribution of severity scores at 3 months between the Acupuncture and Control groups:
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