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Inferential statistics, is used to make claims about the populations that give rise to the data we collect. This requires that we go beyond the data available to us. Consequently, the claims we make about populations are always subject to error; hence the term "inferential statistics" and not deductive statistics.
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
error bar can be drawn for statistical comparison of bars and graphs.
The parameters of the underlying distribution, plus the standard error of observation.
Q statistic