CHISQ.DIST.RT
TheCHISQ.DIST.RT
function returns the righttailed probability of the chisquared distribution. This function is commonly used in hypothesis testing and to calculate confidence intervals for the variance of a normal distribution. The chisquared distribution is often used in goodnessoffit tests and tests of independence in contingency tables.
 How to use
CHISQ.DIST.RT
formula?  Examples of using
CHISQ.DIST.RT
formula CHISQ.DIST.RT
formula not working? Similar formulas to
CHISQ.DIST.RT
Usage
Use the CHISQ.DIST.RT
formula with the syntax shown below, it has 2 required parameters:
 x (required):
The value at which to evaluate the distribution.  degrees_freedom (required):
The degrees of freedom for the distribution. Must be a positive integer.
Examples
Here are a few example use cases that explain how to use theCHISQ.DIST.RT
formula in Google Sheets.
Calculating confidence intervals
The CHISQ.DIST.RT function can be used to calculate confidence intervals for the variance of a normal distribution. This is useful in statistics when trying to estimate the range of values that a population parameter is likely to fall within.
Goodnessoffit tests
The chisquared distribution is often used in goodnessoffit tests to compare an observed distribution to a theoretical distribution. The CHISQ.DIST.RT function can be used to calculate the probability of obtaining a test statistic as large as or larger than the observed value, given the null hypothesis.
Tests of independence in contingency tables
The chisquared distribution is commonly used in tests of independence in contingency tables, which are used to examine the relationship between two categorical variables. The CHISQ.DIST.RT function can be used to calculate the probability of obtaining a test statistic as large as or larger than the observed value, given the null hypothesis of independence.
Common Mistakes
CHISQ.DIST.RT
not working? Here are some common mistakes people make when using the CHISQ.DIST.RT
Google Sheets Formula:
Incorrect number of arguments
Users often provide the wrong number of arguments to the CHISQ.DIST.RT formula. It requires two arguments: x (the value at which to evaluate the distribution) and degrees_freedom (the degrees of freedom for the distribution). Doublecheck that you have provided both arguments.
Invalid input type
The CHISQ.DIST.RT formula requires numeric input for both the x value and degrees of freedom. If you provide a nonnumeric value for either argument, the formula will return an error. Verify that you have entered numeric input for both arguments.
Incorrect degrees of freedom
The degrees of freedom for the CHISQ.DIST.RT formula must be a positive integer. If you provide a noninteger or negative value for degrees_freedom, the formula will return an error. Check that you have entered a positive integer for degrees_freedom.
Related Formulas
The following functions are similar to CHISQ.DIST.RT
or are often used with it in a formula:

CHISQ.DIST
The
CHISQ.DIST
function calculates the probability density function or the cumulative distribution function of a chisquared distribution. This function is commonly used in hypothesis testing to determine the significance of the difference between expected and observed values. The output of this function can be used to make decisions about the null hypothesis. 
CHISQ.INV
The CHISQ.INV function returns the inverse of the righttailed probability of the chisquared distribution. It is commonly used in hypothesis testing where the null hypothesis is that the observed data follows a chisquared distribution. The function returns the value of the chisquared random variable at which the cumulative distribution function equals the given probability. This function is useful for finding critical values after performing a chisquared test.

CHISQ.INV.RT
The
CHISQ.INV.RT
function returns the inverse of the righttailed probability of the chisquared distribution. It is commonly used in hypothesis testing and goodnessoffit analysis to determine whether an observed set of data is significantly different from a theoretical distribution. The function takes two arguments: the probability and the degrees of freedom. 
T.DIST.RT
The
T.DIST.RT
function returns the righttailed Student's tdistribution of a given value, given the degrees of freedom. It is commonly used in hypothesis testing to determine the probability of observing a value as extreme or more extreme than a test statistic under the null hypothesis. 
NORM.S.INV
The
NORM.S.INV
function is a statistical function in Google Sheets that returns the inverse of the standard normal cumulative distribution function for a specified value. In other words, it returns the zscore that corresponds to a given probability. This function is commonly used in hypothesis testing, confidence interval estimation, and other statistical analyses.
Learn More
You can learn more about the CHISQ.DIST.RT
Google Sheets function on Google Support.