Therefore, option (c)normality assumption is checked when looking at a Q–Q plot in one-way ANOVA model.
In statistics, a Q–Q plot is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against each other. A point on the plot corresponds to one of the quantiles of the second distribution plotted against the same quantile of the first distribution
Here,
normality assumption is checked when looking at a Q–Q plot in one-way ANOVA model.
Explanation: The core tenet of the assumption of normality states that the sample mean distribution (across independent variables) is normal. Technically speaking, the Assumption of Normality asserts that the mean's sampling distribution or the distribution of means among samples is normal.
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