## How to use the CHISQ.DIST.RT function

**What is the CHISQ.DIST.RT function?**

The CHISQ.DIST.RTÂ function was introduced in Excel 2010 and calculates the right-tailed probability of the chi-squared distribution. It has replaced the CHIDIST functionÂ and RT in the function name stands for right-tailed.

**What is a chi-squared distribution?**

The chi-squared distribution is a theoretical probability distribution modeling the sum of squared standard normal random variables used in inferential statistics for estimation, confidence intervals, and hypothesis testing.

**What is the probability of the chi-squared distribution?**

The probability of the chi-squared distribution determines the likelihood that the sum of squared standard normal variables will take on a value less than or equal to a given number, depending on its degrees of freedom parameter.

**What is a hypothesize?**

In statistics, a hypothesis is an assumption about some aspect of a population parameter or probability model that can be tested using observations and data to determine if there is sufficient evidence in the sample to support the assumed hypothesis.

**W****hat is ****the right-tailed probability of the chi-squared distribution?**

The right-tailed probability of the chi-squared distribution gives the chance that the sum of squared standard normal variables exceeds a given value x, equal to 1 minus the cumulative distribution function evaluated at x, focusing on the upper tail rather than full distribution.

*What is the sum of squared standard normal variables?*

The sum of squared standard normal variables refers to summing multiple independent normally distributed random variables each with a mean of 0 and variance of 1, which results in a chi-squared distribution that can be used for statistical modeling and analysis.

**What is independent normally distributed random variables?**

Independent normally distributed random variables are uncorrelated random variables whose distributions follow the normal distribution each with their own mean and standard deviation parameters, often hypothesized in statistics when modeling unknown true distributions.

**Wh****at isÂ ****inferential statistics for estimation?**

Inferential statistics for estimation involve using a random sample to estimate characteristics and parameters about a larger population using statistical techniques like confidence intervals and point estimation to quantify uncertainty about the estimates.

**Wh****at is confidence intervals****?**

A confidence interval provides a range of plausible values for an unknown population parameter centered around a sample estimate, describing the uncertainty around the estimate at a specified level of confidence.

### CHISQ.DIST.RTÂ function Syntax

CHISQ.DIST.RT(*x,deg_freedom*)

### CHISQ.DIST.RT function Arguments

x |
Required. A numerical value representing a point in the probability distributionÂ you want to be evaluated. |

deg_freedom |
Required. A numerical value representing the degrees of freedom. |

**What are the degrees of freedom?**

The degrees of freedom in a chi-squared distribution refers to the number of standard normal random variables being squared and summed, which affects the shape of the distribution and occurs in statistical tests as the sample size minus the number of estimated parameters.

### CHISQ.DIST.RT function example

Formula in cell C6:

### CHISQ.DIST.RT function not working

The CHISQ.DIST.RT function returns

- #VALUE! error value if
*x*orÂÂ argument is non-numeric.*deg_freedom* - #NUM! error value if:
*xÂ*< 0 (zero)Â 1*deg_freedomÂ <*Â 10^10*deg_freedomÂ >*

* deg_freedom *argumentÂ is converted into integers.

### Functions in 'Statistical' category

The CHISQ.DIST.RT function function is one of many functions in the 'Statistical' category.

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