Professional dancer, choreographer, educator and AmSAT (American Society for Alexander Technique) certified teacher, KC Chun-Manning explains âThe Alexander Technique (AT) has affected EVERY aspect of my life and how I live in my body, allowing for increased skill, clarity, integration and better choice-making.
The two-sample t-test is a hypothesis test for answering questions about the mean where the data are collected from two random samples of independent observations, each from an underlying normal distribution: The steps of conducting a two-sample t-test are quite similar to those of the one-sample test. And for the sake of consistency, we will focus on another example dealing with birthweight and prenatal care.
It is for this reason that a distribution curve represents the frequency of values, not the y-value attached to an x-value. t-test introduction. A two-sample t-test is an inferential test that determines if there is a significant difference between the means of two data sets. In other words, this t-test decides if the two data sets come from the same population (Figure 2A) or from different populations (Figure 2B).