DC-Den

One function in Excel that I find useful is the Descriptive Statistics from the Analysis Toolpak Add-In. At a glance I see a summary of the sample data. However I also find it cumbersome to use. It requires you to add-in Analysis Toolpak - not loaded by default. I wonder why Microsoft choses not to pre-load in Excel even though it has been available since Excel 2000 (maybe even earlier?). It launches a dialog. Recently, this becomes an issue as it unavailable in Excel Web. It returns a static result, not an auto recalculating function, i.e. the result is not updated if and when the data is updated. Of the 3 reasons above, I find the last most annoying. While field/laboratory sample data does not change after collection, but input data from external sources can be changing frequently. Any report based on external sources would have to be painstakingly updated manually. So in this blog, I will create a Descriptive Statistics function with LAMBDA that would recalculate automatically just

Excel provides CONFIDENCE.T  formula to calculate the confidence interval. This value, however, does not stand on its own. We usually want to know the upper and lower confidence limits as well.  In this blog, I will implement the calculation of upper and lower confidence intervals using LAMBDA. I will also demonstrate how to implement optional parameters, if a different significance level from the default 5% is required. But before that, I will introduce the LET function. LET Function The LET  function assigns names to calculation results. This is useful for storing intermediate results or values, or defining names inside a formula. The general syntax is as follows: =LET(name1, name_value1, [name2, name_value2,...], calculation) It supports up to 126 name-and-value pairs . The last parameter calculation is the return result of LET . Let's see this in action. Confidence Interval function I will create a new function  dcrConfidence  that takes an  array  and calculates the confide