CHISQ.INVThe CHISQ.INV function returns the inverse of the right-tailed probability of the chi-squared distribution. It is commonly used in hypothesis testing where the null hypothesis is that the observed data follows a chi-squared distribution. The function returns the value of the chi-squared random variable at which the cumulative distribution function equals the given probability. This function is useful for finding critical values after performing a chi-squared test.
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CHISQ.INVformula not working?
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CHISQ.INV formula with the syntax shown below, it has 2 required parameters:
- probability (required):
The probability of the chi-squared distribution. Must be between 0 and 1, inclusive.
- degrees_freedom (required):
The degrees of freedom of the chi-squared distribution. Must be an integer greater than or equal to 1.
ExamplesHere are a few example use cases that explain how to use the
CHISQ.INV formula in Google Sheets.
Finding critical values for chi-squared tests
After performing a chi-squared test, you can use CHISQ.INV to find the critical value at a given significance level. This can help you determine whether to reject or fail to reject the null hypothesis.
Calculating confidence intervals
CHISQ.INV can be used to calculate the confidence interval for a chi-squared distribution. This can help you estimate the range of values that a parameter is likely to fall within.
Estimating population variance
CHISQ.INV can be used in conjunction with other statistical functions to estimate the variance of a population. This can help you understand how much variation there is in a set of data.
CHISQ.INV not working? Here are some common mistakes people make when using the
CHISQ.INV Google Sheets Formula:
Incorrect probability value
One common mistake is entering a probability value outside of the range 0 to 1, which will result in an error. Double-check that the probability value is between 0 and 1 and adjust as necessary.
Incorrect degrees of freedom value
Another mistake is entering an incorrect or invalid value for the degrees of freedom. Double-check that the degrees of freedom value is a positive integer and adjust as necessary.
Missing or extra arguments
A common mistake is forgetting to include one or both of the required arguments in the formula, or including extra arguments that are not needed. Double-check that the formula includes exactly two arguments, separated by commas.
Using the wrong function
Another mistake is accidentally using the wrong function, such as CHISQ.DIST instead of CHISQ.INV. Double-check that the correct function is being used for the desired calculation.
Incorrect cell references
One final mistake is using incorrect cell references in the formula, which can cause the formula to return an incorrect result. Double-check that the correct cell references are being used in the formula.
The following functions are similar to
CHISQ.INV or are often used with it in a formula:
CHISQ.DISTfunction calculates the probability density function or the cumulative distribution function of a chi-squared 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.
T.INVfunction returns the inverse of the Student's t-distribution for the provided probability and degrees of freedom. This function is commonly used to calculate a critical value from the t-distribution when working with small sample sizes.
NORM.INVfunction returns the inverse of the cumulative normal distribution for a specified mean and standard deviation. It is commonly used in statistical analysis to find the value at which a specified percentage of observations occur below that value.
You can learn more about the
CHISQ.INV Google Sheets function on Google Support.