英語 での The normal distribution の使用例とその 日本語 への翻訳
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Immediately identify outliers that fall outside the normal distribution on a statistical map of your VMware environment.
The normal distribution generalizes to Rn, in which case it is known as the multivariate normal distribution. .
As the degree of freedom increases, it approaches the normal distribution function.
To visualize the fit of the normal distribution, examine the probability plot and assess how closely the data points follow the fitted distribution line.
I think that you can enjoy the air feeling and presence that each instrument has and the fineness of the ensemble by the high sound quality more than the normal distribution version. Please enjoy it.
A sample size that is less than 20 may not provide enough power to detect significant differences between your sample data and the normal distribution.
The normal distribution is the distribution that statistics makes most use of(for reasons to be discussed shortly), and the binomial distribution is a very useful one for lots of purposes.
As long as there are enough categories(e.g., Likert scale responses to a questionnaire), it's pretty standard practice to use the normal distribution as an approximation.
σ, then log(X) follows the normal distribution with mean µ and standard deviation σ.
What's interesting is when you combine the ideas in probability theory with what we know about the normal distribution, then you can start to engage in inferential statistics.
Approximation using the normal distribution: In this case, we will use the normal distribution with means p0 and p1 and standard deviations√ p0(1- p0)/ N and√p1(1- p1)/ N.
Then that way if you see it in any of these other forms in the rest of your life your won't say what's that, I thought the normal distribution was this or it was this and now you know.
Dispersion of the normal distribution.
Middle value in the normal distribution.
Mean value of the normal distribution.