For an independent-measures t statistic, the estimated standard error measures how much difference is reasonable to expect between the sample means for two samples selected from the same population.
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The reliability of a measure is determined by the standard error of measurement. It is frequently mentioned in standardized testing and it describes how variable a test's measurement error is. A confidence interval for the true score of an element or an individual can be generated using the standard error of measurement.
To ascertain whether there is statistical support that the linked population means are statistically substantially different, the Independent Samples t Test compares the means of two independent groups. An example of a parametric test is the Independent Samples t Test. Additionally called the Independent t Test.
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