Confidence
Interval Determination
Introduction: Confidence interval
(C.I.) is a range providing an interval estimate to true but unknown population
parameter. The confidence level (1α) is the proportion of confidence intervals that
cover the true parameter, i.e. a 95% C.I. is the interval that you are 95% certain contains the unknown population true value. Its
relation with hypothesis test is that the 100(1α)%
confidence interval of the test statistic is the acceptance region of a 2sided
hypothesis test. If the test statistic is more extreme than the upper or lower
bound of the confidence interval, the null hypothesis is rejected. The
significance level of the test is the complement of the confidence level.
This program
helps users to find confidence interval for various statistical and epidemiological
studies, including proportion, correlation, rate, relative risk, odd ratios
and diagnostic statistics. Besides this, McNemar’s Test for paired groups is also provided.
DIRECTIONS:


5. Relative Risk and
Attributable Risk 6. Odds Ratios, ARR, RRR, NNT,
PEER 