Whether you are already used to working with tex or handling this format the very first time, editing it should not seem like a challenge. Different formats might require particular applications to open and edit them properly. Nevertheless, if you have to swiftly cut off point in tex as a part of your typical process, it is best to get a document multitool that allows for all types of such operations without the need of extra effort.
Try DocHub for sleek editing of tex and also other file formats. Our platform offers effortless document processing regardless of how much or little previous experience you have. With instruments you have to work in any format, you won’t have to jump between editing windows when working with each of your files. Easily create, edit, annotate and share your documents to save time on minor editing tasks. You will just need to register a new DocHub account, and then you can begin your work right away.
See an improvement in document processing productivity with DocHub’s simple feature set. Edit any file quickly and easily, regardless of its format. Enjoy all the advantages that come from our platform’s efficiency and convenience.
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