These statistics have been found from a reliable source dealing with alcoholism as a disease. There really is no way of knowing if you will become an alcoholic just because one or both of your parents drink alcohol. guess the bottom line is that if you choose to drink alcohol, then you will get drunk and itâs possible that you will have a battle with it like your mother or father did. Just donât do it at all.
Confidence intervals are also very useful for comparing means or proportions and can be used to assess whether there is a statistically meaningful difference. This is based on whether the confidence interval includes the null value (e.g., 0 for the difference in means, mean difference and risk difference or 1 for the relative risk and odds ratio).
The confidence interval is one way of conveying our uncertainty. about a parameter. Itâs misleading (and maybe dangerous) to pretend weâre certain. It is not enough to provide a guess (point estimate) for the. parameter. We also have to say something about how far such an estimator. is likely to be from the true parameter value. With a confidence interval, we report a range of numbers, in. which we hope the true parameter will lie. The interval is. centered at the estimated value, and the width (âmargin of errorâ) is an appropriate multiple of the standard error. We can think of the margin of error as âfuzzâ, introduced to. account for sampling variability.