In probability theory and statistics, the chi-squared distribution (also chi-square or ?2-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.

In probability theory and statistics, the chi-squared distribution (also chi-square or ?2-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.

In probability theory and statistics, the chi-squared distribution (also chi-square or ?2-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.

In probability theory and statistics, the chi-squared distribution (also chi-square or ?2-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.

In probability theory and statistics, the chi-squared distribution (also chi-square or ?2-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.

In probability theory and statistics, the chi-squared distribution (also chi-square or ?2-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.

Cup of tea? Well a cup of CHAR won’t help you…

With our A t Z of Excel Functions series, you could argue we have been trying to make a soft CELL (get it?).

Do you know where your CEILING is precisely?? If not, this function won’t help you.

This function sounds like something you calculate whilst swinging from the chandeliers...