In this post, I will introduce you to t-scores and explain how they are similar to z-scores (remember those? They tell us how likely it is for a particular score to occur). I will also talk about t-distribution and its assumptions and explain the role which t-scores play in Hypothesis Testing; actual calculations and t-tests, however, will be discussed in the next posts.
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It is important to know which type of measurement to use in your research/experiment and not to confuse those types. Normally we would talk of Numerical (Score) and Nominal (Category) types of measurement; numerical then can be of three types itself: ordinal (rank), interval and ratio measurement types. |
AuthorI am a 21 years old Psychology undergraduate in Edinburgh University. The idea behind this site is to provide some help to fellow students, to make studying psychology (including stats...) as much fun as possible and motivate me not to skip those 9am lectures! Archive
February 2013
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