# Question: What is Pearsons chi square test used for?

Contents

Pearsons chi-squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the observed frequencies in one or more categories of a contingency table.

## How do you interpret Pearsons chi-square test?

For a Chi-square test, a p-value that is less than or equal to your significance level indicates there is sufficient evidence to conclude that the observed distribution is not the same as the expected distribution. You can conclude that a relationship exists between the categorical variables.

## What do you do after chi square test?

Following a Chi-Square test that includes an explanatory variable with 3 or more groups, we need to subset to each possible paired comparison. When interpreting these paired comparisons, rather than setting the α-level (p-value) at 0.05, we divide 0.05 by the number of paired comparisons that we will be making.

## What if chi-square value is zero?

Zero represents the null hypothesis. If all your observed frequencies equal the expected frequencies exactly, the chi-squared value for each cell equals zero, and the overall chi-squared statistic equals zero. You can reject the null hypothesis and conclude that the variables are dependent–a relationship exists.

## What is a 2x2 chi-square?

The 2 X 2 contingency chi-square is used for the comparison of two groups with a dichotomous dependent variable. We might compare males and females on a yes/no response scale, for instance. The contingency chi-square is based on the same principles as the simple chi-square analysis in which we examine the expected vs.

## Can you have 0 in chi-square?

A low value for chi-square means there is a high correlation between your two sets of data. In theory, if your observed and expected values were equal (“no difference”) then chi-square would be zero — an event that is unlikely to happen in real life.

## Can your p value be 0?

It is not true that p value can ever be 0. Some statistical software like SPSS sometimes gives p value . 000 which is impossible and must be taken as p< . 001, i.e null hypothesis is rejected (test is statistically significant).

## What if the chi-square value is zero?

Zero represents the null hypothesis. If all your observed frequencies equal the expected frequencies exactly, the chi-squared value for each cell equals zero, and the overall chi-squared statistic equals zero. Zero indicates your sample data exactly match what youd expect if the null hypothesis is correct.

## What does p-value 0.0001 mean?

Often in studies a statistical power of 80% is agreed upon, corresponding with a p-value of approximately 0.01. Also very low p-values like p<0.0001 will be rarely encountered, because it would mean that the trial was overpowered and should have had a smaller sample size.

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