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  1. J

    CV constant for Normal distribution based variables

    With mu and sigma defining a random Normal distribution, sample pairs, x,y, define a point. The max distance between pairs of points has s/x bar constant for each n, for any/many values of mu and sigma. For n = 5, 5 pairs of points, CV is .27 for any mu and sigma tried. The .27 has been sorta...
  2. J

    t, Z and sigma again

    Wikipedia says:In probability and statistics, Student's t-distribution (or simply the t-distribution) is any member of a family of continuous probability distributions that arises when estimating the mean of a normally distributed population in situations where the sample size is small and the...
  3. J

    t, Z, and s; known vs estimated sigma

    I see "if sigma is unknown, use t" here. 1. When do we know sigma? I can't remember a time. 2. With n > ?, 30 or 100 0r 1000, it seems that t dist ~ z for any question. n threshold? Thanks; joe b.
  4. J


    Anova is about Normal distribution/s with equal variance and differing means. I can find only one kind of distribution where variance is constant as the mean varies; a distribution of random numbers between TOP and BOTTOM. This distribution has mean vary as top-bottom varies, yet s remains...
  5. J

    Average and variance

    I'm looking for a real-world distribution of data with the variance constant = independent of the mean. For example, Mean weight of hogs at slaughter varies over time, variance remains constant as mean weight varies. I'm looking for distributions like that. Thanks; joe b.