Search results
8 wrz 2024 · The p-value calculator can help you find the p-value and evaluate how compatible your data is with the null hypothesis.
- Coefficient of Determination Calculator
The coefficient of determination, or the R-squared value, is...
- T-test Calculator
p-value from two-tailed t-test: p-value = 2 × cdf t,d (−|t...
- Z-test Calculator
The critical value approach involves comparing the value of...
- Normal
Let's say you want to use this bell curve calculator to...
- Probability Calculator
Let's take a look at an example with multi-colored balls. We...
- Coefficient of Determination Calculator
This p-value calculator helps you to quickly and easily calculate the right-tailed, left-tailed, or two-tailed p-values for a given z-score. It also generates a normal curve and shades in the area that represents the p-value.
30 paź 2024 · Spis treści. Co to jest wartość p? Jak obliczyć wartość p na podstawie statystyki testowej? Jak interpretować wartość p Jak używać kalkulatora wartości p znając wartość statystyki testowej? Jak znaleźć wartość p na podstawie wartości Z? Jak znaleźć wartość p dla testu t? Wartość p dla testu chi-kwadrat (χ²-score) Wartość p dla rozkładu F FAQs.
A P-value calculator is used to determine the statistical significance of an observed result in hypothesis testing. It takes as input the observed test statistic, the null hypothesis, and the relevant parameters of the statistical test (such as degrees of freedom), and computes the p-value.
The p-value calculator will output: p-value, significance level, T-score or Z-score (depending on the choice of statistical hypothesis test), degrees of freedom, and the observed difference. For means data it will also output the sample sizes, means, and pooled standard error of the mean.
Calculator to compute p-value from Z-score or Z-score from p-value for a normal distribution. It also provides a diagram illustrating the area of the p-values.
This P value calculator finds the p value from a z-score, t-score, R-score, F-statistic, or chi-square to determine a test statistic's statistical significance.
