2019年6月6日 · If you are interested in finding the Chi-square critical value for a given significance level and degrees of freedom, then you should use the Chi-square Distribution Table. Instead, if you have a given test statistic X 2 and you simply want to know the p-value of that test statistic, then you would need to use a Chi-Square Distribution ...

This calculator is designed to generate a p -value from a chi-square score. If you need to derive a chi-square score from raw data, you should use our chi-square calculator (which will additionally calculate the p -value for you).

卡方分布（英語： chi-square distribution [2], χ ²-distribution ，或寫作 χ ²分布）是概率论与统计学中常用的一种概率分布。k个独立的标准正态分布变量的平方和服从自由度为k的卡方分布。

2022年2月11日 · 根据所给定的自由度 k 以及 χ2 值，即可计算p-value。 对于得到的p-value，与自己指定的显著性水平作比较（通常将0.05作为显著性水平），如果得到的p-value小于0.05，那我们认为样本所表现出来的结果是小概率事件，则我们有理由拒绝原假设 H 0；否则，我们需要接受原假设 H 0。 通常情况下，也可以通过查表得形式来选择接受或者拒绝原假设。 p = 0.05 p=0.05 p = 0.05 时的取值为3.84。 我们得到的 χ2 值1.077，小于3.84，且接近于.

The Chi-Square Test gives a way to help you decide if something is just random chance or not.

Chi Square P-Values. A chi square test will give you a p-value. The p-value will tell you if your test results are significant or not. In order to perform a chi square test and get the p-value, you need two pieces of information: Degrees of freedom. That’s just the number of categories minus 1. The alpha level(α). This is chosen by you, or ...

Normal Distribution Chi-Square Distribution t Distribution F Distribution P-Value Calculator for Chi-Square Distribution. Degree of freedom: Chi-square: p-value: p-value type: right tail left tail. CANVAS NOT SUPPORTED IN THIS BROWSER! ...

2020年4月24日 · This calculator finds the p-value associated with a given Chi-Square score and a specified degrees of freedom.

Use this Χ2 to P calculator to easily convert Chi scores to P-values and see if a result is statistically significant. Information on what a p-value is, how to interpret it, and the difference between one-sided and two-sided tests of significance.

6 天之前 · For instance, if you get a calculated chi-square value of 4.2 (df = 1, p = 0.05), you are going to reject the null hypothesis. Example of Chi-square test For instance, you want to test if women and men differ in terms of purchasing products from a certain brand. There are 50 men and 50 women in the data set.