Need to make a CLEAN getaway? This function removes all nonprintable characters from text. And I’m not talking about expletives...

Do you choose to use CHOOSE? This function uses index_num to return a value from the list of value arguments...

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.

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.