Also hard to interpret correctly frequentist results. -- Misinterpretations of P-values and statistical tests persists among researchers and professionals wor

Also hard to interpret correctly frequentist results. -- Misinterpretations of P-values and statistical tests persists among researchers and professionals working with statistics and epidemiology "Correct inferences to both questions, which is that a statistically significant finding cannot be inferred as either proof or a measure of a hypothesis’ probability, were given by 10.7% of doctoral students and 12.5% of statisticians/epidemiologists." https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383044/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383044/ -- Robust misinterpretation of confidence intervals "Only 8 first-year students (2%), no master students, and 3 postmasters researchers (3%) correctly indicated that all statements were wrong." https://link.springer.com/article/10.3758/s13423-013-0572-3 https://link.springer.com/article/10.3758/s13423-013-0572-3 -- P-Value, Confidence Intervals, and Statistical Inference: A New Dataset of Misinterpretation "The data indicates that 99% subjects have at least 1 wrong answer of P-value understanding (Figure 1A) and 93% subjects have at least 1 wrong answer of CI understanding (Figure 1B)." https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2018.00868/full https://www.frontiersin.org/journals/psychology/articles/10....