Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
paired t-test is more powerful because it utilizes information
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It is a ratio.
In a general t-test, there is no relationship between the members of one sample and the other. In a paired t-test they are connected in some way so that they are likely to give similar outcomes. This means that more of the difference between them can be attributed to the "treatment".
See: http://stattrek.com/AP-Statistics-4/Paired-Means.aspx?Tutorial=Stat Usually referred to as the "match paired t-test." It is comparing the mean of two samples, but the data in first sample is paired with the data in the second sample, for a more logical comparison.
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
Sample Bio-Data Form
paired t-test is more powerful because it utilizes information
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Morphology is the term that literally means comparison of shape or form. It involves the study and comparison of the anatomy and development of organisms to understand their structure and form.
Immunoturbidimetry measure the turbidity of a sample to determine the level of an analyte. Upon addition of the assay reagent, antibodies and antigen cluster to form an immune complex that precipitates, increasing the turbidity of the sample. When light is passed through the reaction solution, some light is scattered by the sample, some light is absorbed by the sample and the rest passes through the sample. Immunoturbidimetry measures the absorbance of the light by the sample The level of analyte is determined by comparison with a calibrator of known concentration. sreejoyee
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comparison between previous and current test result of the sample.
Comparison.
The noun 'comparison' is a countable noun.The plural form is comparisons.