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  • 6.1: Introduction to Normal Distribution
    https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/06%3A_The_Normal_Distribution/6.01%3A_Introduction_to_Normal_Distribution
    Note that this is unlike several probability density functions we have already studied, such as the Poisson, where the mean is equal to \(\mu\)\(\mu\) and the standard deviation simply the square root...Note that this is unlike several probability density functions we have already studied, such as the Poisson, where the mean is equal to \(\mu\)\(\mu\) and the standard deviation simply the square root of the mean, or the binomial, where p is used to determine both the mean and standard deviation.
  • 6.1: Introduction
    https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/06%3A_The_Normal_Distribution/6.01%3A_Introduction
    Note that this is unlike several probability density functions we have already studied, such as the Poisson, where the mean is equal to \(\mu\)\(\mu\) and the standard deviation simply the square root...Note that this is unlike several probability density functions we have already studied, such as the Poisson, where the mean is equal to \(\mu\)\(\mu\) and the standard deviation simply the square root of the mean, or the binomial, where p is used to determine both the mean and standard deviation.
  • 4.8: Introduction to Normal Distribution
    https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/04%3A_Random_Variables/4.08%3A_Introduction_to_Normal_Distribution
    Note that this is unlike several probability density functions we have already studied, such as the Poisson, where the mean is equal to \(\mu\) and the standard deviation simply the square root of the...Note that this is unlike several probability density functions we have already studied, such as the Poisson, where the mean is equal to \(\mu\) and the standard deviation simply the square root of the mean, or the binomial, where \(p\) is used to determine both the mean and standard deviation.

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