query: Are credible intervals confidence regions?
positive_passages.docid: 30397
positive_passages.text: What's the difference between a confidence interval and a credible interval?
negative_passages.docid: 26820
negative_passages.text: Does it make sense to compute confidence intervals and to test hypotheses when data from whole population is available?
negative_passages.docid: 89077
negative_passages.text: Bootstrapped confidence intervals: different values at every computation?
negative_passages.docid: 42132
negative_passages.text: 100% confidence interval for mean
negative_passages.docid: 111170
negative_passages.text: Testing large dataset for normality - how and is it reliable?
negative_passages.docid: 112118
negative_passages.text: Meaning of 2.04 standard errors? Significantly different means when confidence intervals widely overlap?
negative_passages.docid: 121031
negative_passages.text: What's the accuracy of data obtained through a random sample?
negative_passages.docid: 57879
negative_passages.text: Linear regression prediction interval
negative_passages.docid: 6580
negative_passages.text: What does a confidence interval with a negative endpoint mean?
negative_passages.docid: 129313
negative_passages.text: Testing for significant differences in skewness
negative_passages.docid: 936
negative_passages.text: Given a 95% confidence level, how do I demonstrate 95% of the intervals actually contain the population mean?
negative_passages.docid: 58504
negative_passages.text: Confidence bands for QQ line
negative_passages.docid: 133414
negative_passages.text: Inter-rater reliability for ordinal or interval data
negative_passages.docid: 12160
negative_passages.text: Why does a 95% Confidence Interval (CI) not imply a 95% chance of containing the mean?
negative_passages.docid: 77655
negative_passages.text: Using percentiles as predictors - good idea?
negative_passages.docid: 91753
negative_passages.text: t-test or z-test: assume normality or s≈σ?
negative_passages.docid: 158743
negative_passages.text: Prediction intervals for a single random variable