normal distribution in Vietnamese

(sự) phân bố chuẩn, sự phân bố bình thường

Sentence patterns related to "normal distribution"

1. Dispersion of the normal distribution

2. Bivariate Normal Distribution A special case of the multivariate normal distribution is the Bivariate normal distribution with only two variables, so that we can show many of its aspects geometrically

3. The Bivariate Normal Distribution looks pretty complicated

4. The Jarque-Bera test uses these two (statistical) properties of the normal distribution, namely: The Normal distribution is symmetric around its mean (skewness = zero) The Normal distribution has kurtosis three, or Excess kurtosis = zero

5. So here we're looking at the normal distribution.

Ta quan sát đồ thị phân bổ bình thường.

6. In fact, for a normal distribution, mean = median = mode.

Thực ra, với phân bố chuẩn, giá trị trung bình = median = mode.

7. To learn the formal definition of the Bivariate normal distribution

8. False assumption # 5 is that people's performance levels follow the normal distribution.

9. The original conCept of Cep was based on a circular bivariate normal distribution (CBN) with Cep as a parameter of the CBN just as μ and σ are parameters of the normal distribution

10. A bell Curve is a plot of normal distribution of a given data set

11. If we look at the formulas for Cpk and Ppk for normal (distribution) process Capability…

12. 13 The ordinate scaling is derived by dividing the area beneath a normal distribution curve into columnar segments of equal area.

13. The Bivariate Normal Distribution Most of the following discussion is taken from Wilks, Statistical Methods in the Atmospheric Sci-ences, section 4.5

14. Linear analysis of discriminants assumes the normal distribution of the values and the equality of matrices of covariance in the control groups.

15. The Binomial distribution is therefore approximated by a normal distribution for any fixed (even if is small) as is taken to infinity

16. To understand that when \(X\) and \(Y\) have the Bivariate normal distribution with zero correlation, then \(X\) and \(Y\) must be independent

17. The probability density function (PDF) of a Binormal distribution has an absolute maximum at the mean though, unlike the univariate normal distribution, it may

18. First, lets define the Bivariate normal distribution for two related, normally distributed variables x ∼ N(µ x,σ2), and x ∼ N(µy,σ2 y)

19. The probability density function of the Bivariate normal distribution is implemented as MultinormalDistribution[mu1, mu2, sigma11, sigma12, sigma12, sigma22] in the Wolfram Language package MultivariateStatistics`.

20. The Binormal distribution is sometimes referred to as the bivariate normal distribution, and the standard Binormal distribution may also be referred to as the unit Binormal distribution

21. A Bivariate normal distribution is one in which y values are normally distributed for each x value and x values are normally distributed for each y value

22. The noncentral F-distribution The folded normal distribution The Fréchet distribution The Gamma distribution, which describes the time until n consecutive rare random events occur in a process with no memory.

Phân phối F không trung tâm (noncentral F-distribution) Phân phối Gamma, mô tả thời gian cho đến khi n biến cố ngẫu nhiên hiếm gặp liên tiếp xảy ra trong một quá trình không có bộ nhớ.

23. On the third, the Coathanger won again, but by a margin of 35.4% to 35%; hardly convincing, and very close to a normal distribution (aka, how a random number generator might vote).

24. The Q-Q plot allows to compare the cumulative distribution function (cdf) of the sample (abscissa) to the cumulative distribution function of normal distribution with the same mean and standard deviation (ordinates).

25. When the Cumulative frequency reaches 84% (corresponding to mean plus standard deviation for normal distribution), velocity ratios are equal to 0.25, 0.29 and 0.32 for condition of before, during and after construction, respectively.

26. The accepted Six Sigma scoring system thus cannot be equated to actual normal distribution probabilities for the stated number of standard deviations, and this has been a key bone of contention over how Six Sigma measures are defined.

27. Joint Probability Density Function for Bivariate Normal Distribution Substituting in the expressions for the determinant and the inverse of the variance-covariance matrix we obtain, after some simplification, the joint probability density function of (\(X_{1}\), \(X_{2}\)) for the Bivariate …

28. In the Bivariate probit model it is assumed that (ε 1,ε 2) is drawn from a standard Bivariate normal distribution with zero means, unit variances, and correlation coefficient ρ: (ε 1,ε 2) ∼N 2 0 0 , 1 ρ ρ 1

29. The normal distribution can be used as an Approximation to the binomial distribution, under certain circumstances, namely: If X ~ B(n, p) and if n is large and/or p is close to ½, then X is approximately N(np, npq) (where q = 1 - p).