(1)The first assumption made regarding t-tests concerns the scale of measurement.
(2)The second assumption made is that of a simple random sample,
that the data is collected from a representative, randomly selected
portion of the total population.
(3) The third assumption is the data, when plotted, results in a
normal distribution, bell-shaped distribution curve.
(4)The fourth assumption is a reasonably large sample size is used.
A larger sample size means the distribution of results should
approach a normal bell-shaped curve.
(5)The final assumption is the homogeneity of variance.
Homogeneous, or equal, variance exists when the standard deviations
of samples are approximately equal.
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