When you edit documents in various formats day-to-day, the universality of the document solution matters a lot. If your instruments work with only a few of the popular formats, you may find yourself switching between software windows to cut off point in raw and manage other document formats. If you want to eliminate the headache of document editing, go for a platform that can easily handle any format.
With DocHub, you do not need to concentrate on anything but actual document editing. You will not need to juggle applications to work with diverse formats. It will help you modify your raw as easily as any other format. Create raw documents, edit, and share them in a single online editing platform that saves you time and improves your efficiency. All you have to do is sign up a free account at DocHub, which takes just a few minutes.
You will not need to become an editing multitasker with DocHub. Its feature set is sufficient for speedy document editing, regardless of the format you need to revise. Start by registering a free account to see how effortless document management might be having a tool designed particularly for your needs.
hi in this video were going to work with the normal distribution and find cutoff points corresponding to a given percentile lets try it with an example the average daily high temperature in June and ly is 77 degrees Fahrenheit with a standard deviation of 5 degrees Fahrenheit suppose that the temperatures in June closely follow a normal distribution how cold are the coldest 10% of the days during June in LA were given a normal distribution so the first thing we should do is to draw a curve and Mark our mean then we want to think about where does this observation live the cutoff point for the coldest 10% of the days in June in LA since as the coldest 10% its going to be located at the lower end of the distribution were kind of guesstimating a cut-off your ear there and were interested in this unknown observation X were working with a normal distribution we have some percentiles it makes sense to think about z-scores usually we calculate a z-score as an observation minus the mean