NORMDIST函数没有给出正确的输出 [英] NORMDIST function is not giving the correct output

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问题描述

我试图在Excel中使用 NORMDIST 函数创建一个响铃曲线,但输出是奇怪的。



我的意味着 0,0000583 标准差 0,0100323 所以当我将其插入函数 NORMDIST(0,0000583; 0,0000583; 0,0100323; FALSE) code>我希望得到一些接近 0,5 的东西,因为我使用相同的值,因为该值的平均概率应为 50%,但该函数给出了 39,77 的输出,这显然不正确。



为什么会这样?

解决方案

值大于1,但密度可以。



密度函数的整个范围的积分等于1,但它可以具有大于特定间隔的值。 ,说明如何使用NORMIDIST在给定的间隔获得概率,以及在何种情况下可以返回大于1的密度。 / p>


对于连续变量,任何特定值的概率为零,因为有无数个值。



如果您想知道正态分布的连续随机变量在a到b的范围内的概率,请使用:



= NORMDIST(b,mean,dev,TRUE) - NORMDIST(a,mean,dev,TRUE)



密度函数的峰值出现在平均值即= NORMDIST(mean,mean,dev,FALSE)),值为:



= 1 /(SQRT(2 * PI())* dev)



峰值当您的偏差小于1 / sqrt(2pi)〜0.399,


时,e将超过1。 >

这是一个惊人的答案非常周密地解决了这个问题。


I'm trying to use NORMDIST function in Excel to create a bell curve, but the output is strange.

My mean is 0,0000583 and standard deviation is 0,0100323 so when I plug this to the function NORMDIST(0,0000583; 0,0000583; 0,0100323; FALSE) I expect to get something close to 0,5 as I'm using the same value as the mean probability of this value should be 50%, but the function gives an output of 39,77 which is clearly not correct.

Why is it like this?

解决方案

A probability cannot have values greater than 1, but a density can.

The integral of the entire range of a density function is equal 1, but it can have values greater than one in specific interval. Example, a uniform distribution on the interval [0, ½] has probability density f(x) = 2 for 0 ≤ x ≤ ½ and f(x) = 0 elsewhere. See below:

          


=NORMDIST(x, mean, dev, FALSE) returns the density function. Densities are probabilities per unit. It is almost the probability of a point, but with a very tiny range interval (the derivative in the point).

shg's answer here, explain how to get a probability on a given interval with NORMIDIST and also in what occasions it can return a density greater than 1.

For a continuous variable, the probability of any particular value is zero, because there are an infinite number of values.

If you want to know the probability that a continuous random variable with a normal distribution falls in the range of a to b, use:

=NORMDIST(b, mean, dev, TRUE) - NORMDIST(a, mean, dev, TRUE)

The peak value of the density function occurs at the mean (i.e., =NORMDIST(mean, mean, dev, FALSE) ), and the value is:

=1/(SQRT(2*PI())*dev)

The peak value will exceed 1 when the deviation is less than 1 / sqrt(2pi) ~ 0.399,

which was your case.

This is an amazing answer on Cross Validated Stack Exchange (statistics) from a moderator (@whuber), that addresses this issue very thoughtfully.

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