Примери за използване на The normal distribution на Английски и техните преводи на Български
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Figure 7- The normal distribution.
He might pick up something about the normal distribution.
The normal distribution is a type of probability density function.
It's called the normal distribution.
The normal distribution is examined by Kolmogorov-Smirnov test.
It is called the normal distribution.
The normal distribution was assessed by the Kolmogorov- Smirnov test.
Properties of the normal distribution.
With a large number of degrees of freedom, the t-distribution resembles the normal distribution.
Statistics: The normal distribution.
Of the cumulative distribution function for the Normal distribution.
A multivariate generalization of the normal distribution, frequently encountered in statistics.
For degrees of freedom greater than 30, the distribution of χ2 approximates the normal distribution.
Applications of the Normal Distribution.
Returns the normal distribution for the specified mean and standard deviation.
Some properties of the normal distribution.
When the number of degrees of freedom gets large, the t-distribution converges to the normal distribution.
Basic properties of the normal distribution.
As the number of degrees of freedom increases, the t distribution approaches the normal distribution.
Middle value in the normal distribution.
And then, in a few videos from now I will show you the continuous cases,which is the normal distribution.
Dispersion of the normal distribution.
Analysts can make better financial decisions based on the statistical information provided by the normal distribution.
Classical statistics: the Normal distribution.
He wrote on the normal distribution and coined the term"central limit theorem" in 1920 which is now standard usage.
Important properties of the Normal distribution.
From the symmetry of the Normal distribution, if AVERAGE(array)< x, Z. TEST will return a value greater than 0.5.
Probability density function for the normal distribution.
From the symmetry of the Normal distribution, if AVERAGE(array)< μ0, ZTEST will return a value greater than 0.5.
Solve simple problems involving the normal distribution.