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  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/08%3A_Advanced_Graphs/8.01%3A_Q-Q_Plots
    The quantile-quantile or q-q plot is an exploratory graphical device used to check the validity of a distributional assumption for a data set. In general, the basic idea is to compute the theoreticall...The quantile-quantile or q-q plot is an exploratory graphical device used to check the validity of a distributional assumption for a data set. In general, the basic idea is to compute the theoretically expected value for each data point based on the distribution in question. If the data indeed follow the assumed distribution, then the points on the q-q plot will fall approximately on a straight line.
  • https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/04%3A_Probability_Distributions/4.06%3A_Accumulation_Functions_And_Area_Measures_in_Normal_Distributions
    We have discussed the relationship between the area of regions within a continuous random variable's probability distribution and the probability of occurrence in relation to that variable. We now foc...We have discussed the relationship between the area of regions within a continuous random variable's probability distribution and the probability of occurrence in relation to that variable. We now focus on how to produce these left-region area measures on normal distributions using technology. Once we reasonably master these concepts in relation to normal distributions, similar ideas are used in t− and χ2− distributions, as well as many other specialized distributions.

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