Unusual file formats within your daily papers management and modifying processes can create instant confusion over how to modify them. You may need more than pre-installed computer software for effective and fast file modifying. If you need to cut off point in Troff or make any other simple alternation in your file, choose a document editor that has the features for you to deal with ease. To deal with all of the formats, including Troff, choosing an editor that works well with all types of files is your best choice.
Try DocHub for effective file management, regardless of your document’s format. It has potent online editing tools that simplify your papers management operations. It is easy to create, edit, annotate, and share any document, as all you need to gain access these characteristics is an internet connection and an active DocHub account. A single document solution is all you need. Do not lose time jumping between different applications for different files.
Enjoy the efficiency of working with an instrument created specifically to simplify papers processing. See how straightforward it really is to modify any file, even if it is the very first time you have dealt with its format. Register an account now and improve your whole working process.
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