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Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It is any statistical hypothesis test in which the test statistic follows a Student's t -distribution under the null hypothesis .
It introduces new dynamic arrays, XLOOKUP [8] features for Excel, full dark-mode support in Windows and performance improvements. [ 9 ] [ 10 ] [ 11 ] Support for retail versions of Office 2021 will end on October 13, 2026; unlike older versions of Office, there is no extended support period.
Despite being released in the same month, the new Office user interface in Word, Excel, PowerPoint, and Outlook is only available to Office 365 subscribers, not perpetual Office 2019 licenses. [22] [23] [24] Office 2019 for Mac received updates until October 10, 2023, when it reached the end of support and stopped receiving updates. [5] [6]
New features in the Windows release include the ability to create, open, edit, save, and share files in the cloud straight from the desktop, a new search tool for commands available in Word, PowerPoint, Excel, Outlook, Access, Visio and Project named "Tell Me", more "Send As" options in Word and PowerPoint, and co-authoring in real time with users connected to Office Online.
As the version of Office RT included on Windows RT devices is based on the Home & Student version, it cannot be used for "commercial, nonprofit, or revenue-generating activities" unless the organization has a volume license for Office 2013 already, or the user has an Office 365 subscription with commercial use rights. [69]
One of the application of Student's t-test is to test the location of one sequence of independent and identically distributed random variables. If we want to test the locations of multiple sequences of such variables, Šidák correction should be applied in order to calibrate the level of the Student's t-test. Moreover, if we want to test the ...
Student's t-test assumes that the sample means being compared for two populations are normally distributed, and that the populations have equal variances. Welch's t-test is designed for unequal population variances, but the assumption of normality is maintained. [1] Welch's t-test is an approximate solution to the Behrens–Fisher problem.
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