Binomial proportion confidence interval on Wikipedia.MedCalc manual: Test for one proportion.(Version 22.007 accessed June 17, 2023) See also Kirkwood BR, Sterne JAC (2003) Essential medical statistics, 2 nd ed.Fleiss JL, Levin B, Paik MC (2003) Statistical methods for rates and proportions, 3 rd ed.Clopper C, Pearson ES (1934) The use of confidence or fiducial limits illustrated in the case of the binomial.Altman DG (1991) Practical statistics for medical research.MedCalc calculates the "exact" Clopper-Pearson confidence interval for the observed proportion (Clopper & Pearson, 1934 Fleis et al., 2003). If the P-value is less than 0.05, the hypothesis that the observed proportion is equal to the pre-specified proportion value is rejected, and the alternative hypothesis that there is a significant difference between the two proportions can be accepted. MedCalc can check lost data, create a group and ranked by percentage. MedCalc can create charts for the ROC curve with 95 percent accuracy, and determine the size of the surface below the graph. The P-value is the area of the normal distribution that falls outside ± z (see Values of the Normal distribution table). The main feature of this software is the ability to analysis of the ROC curve. Where p is the observed proportion p exp is the Null hypothesis (or expected) proportion and se( p) is the standard error of the expected proportion: The significance level, or P-value, is calculated using a general z-test (Altman, 1991): Null Hypothesis value (%): the pre-specified proportion (the value to compare the observed proportion to), expressed as a percentage.Sample size: the sample size or total number of observations.Observed proportion (%): the observed proportion, expressed as a percentage.This test is not performed on data in the data table, but on statistics you enter in a dialog box. The Test for one proportion can be used to test the hypothesis that an observed proportion is equal to a pre-specified proportion.
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