# Search results

1. ### 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. ### 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. ### 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. ### ANOVA DISTRIBUTION/S QUESTION

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. ### 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.