
Which "mean" to use and when? - Cross Validated
So we have arithmetic mean (AM), geometric mean (GM) and harmonic mean (HM). Their mathematical formulation is also well known along with their associated stereotypical …
均值(mean)和平均值(average)的区别? - 知乎
mean和average都是平均数的意思,主要区别在于: 1. 用法上,mean通常指算术平均数或统计中的均值,average则更广泛地指代平均数。 2. mean一般适用于数学和统计学领域,average可以应用 …
How can I calculate uncertainty of the mean of a set of samples …
2020年3月14日 · Then you will have one bigger sample, which can be analyzed, further. Find its distribution, get the mean and the variance, or do a One Sample T-test which is more …
Difference in Means vs. Mean Difference - Cross Validated
2015年4月29日 · the distribution of the mean difference should be tighter then the distribution of the difference of means. See this with an easy example: mean in sample 1: 1 10 100 1000 …
How to calculate `mean` and `sd` of lognormal distribution based …
2020年5月29日 · It returns a list with the transformed mean and standard deviation: meanlog <- 6.0515 sdlog <- 0.3703 ...
mean - Is it correct to use plus or minus symbol before standard ...
2015年4月21日 · $\begingroup$ $\bar{x} \pm 2\mathrm{SD}$ could be an asymptotic 95% prediction interval for a Gaussian random variable (asymptotic because the sample mean, & …
mathematical statistics - Mean residual life - Cross Validated
The meaning of an analytical result concerning the (formally nonexistent) mean of the square of a reciprocal of a normally distributed random variable 2 A follow-up to 'The meaning of an …
What's the difference between "mean independent" and …
2017年4月5日 · Mean independence is less restrictive as it is a one number summary of the values of u, for each level of x. To be more exact, mean independence between u and x would …
probability - Why are mean 0 and standard deviation 1 …
The mean of 0 and standard deviation of 1 usually applies to the standard normal distribution, often called the bell curve. The most likely value is the mean and it falls off as you get farther …
"Unbiased" hypothesis test --- what does it mean actually?
2017年5月12日 · It means that the probability that the test rejects (its power) is always higher when the alternative is true than when the null is true.