what is the MLE for the mean of a normal distribution whose variance is known to be 扫码下载作业帮搜索答疑一搜即得 答案解析 查看更多优质解析 解答一 举报 正态分布的均值的最大似然估计等于你所取样本的均值.但是你题中只说了方差是2,没有说样本均值是多少啊?这也能求出来么 解析看不懂?免费查看同类...
what is the MLE for the mean of a normal distribution whose variance is known to be 相关知识点: 试题来源: 解析 正态分布的均值的最大似然估计等于你所取样本的均值.但是你题中只说了方差是2,没有说样本均值是多少啊?这也能求出来么 反馈 收藏 ...
(d)What is the formal name of the value you computed in(c)? standard error sample proportion sample size sample mean contained58observations? The variability of the old and new distributions will be about the same. The distribution will tend ...
aThe question arises as to what normal distribution; that is, a normal distribution with what mean and what standard deviation? Since all estimators have an identical form (a difference of averages), the standard deviations, though unknown, will in fact be the same under the assumption of ...
In particular, what's so normal about it? The term normal should not be taken literally to mean that this distribution is common or typical; it originates from the Latin word normalis (meaning perpendicular), which was used in Gauss's mathematical proof.Although the normal distribution is ...
A normal distribution is described completely by two parameters, its mean and standard deviation, usually the first step in fitting the normal distribution is to calculate the mean and standard deviation for the other distribution. Then we use these parameters to obtain a normal distribution comparabl...
Consider a normal distribution with mean μ = 50 and standard deviation σ = 10. What is the probability that a randomly selected value is between 40 and 60? A. 0.6826 B. 0.9544 C. 0.8185 D. 0.7257 相关知识点: 试题来源: 解析 A。本题考查正态分布的概率计算。通过标准化,计算 Z1 = (...
is a probability distribution that is symmetric about the mean, i.e., the right side is a mirror image of the left side, indicating that the data near the mean occur more frequently than those at a distance from the mean. The area under the normal distribution curve represents the ...
The mean of the sampling distribution is the same as the probability of correctly identifying a Skittle's color, which is 17%. So, the mean here is 0.17. To find the standard deviation (which tells us how much the results might vary), we use a formula that takes in...
The assumption of a normal distribution is applied to asset prices andprice action. Traders may plot price points to fit recent price action into a normal distribution. The further price action moves from the mean, in this case, the greater the likelihood that an asset is being over or under...