Examples of using Normal distribution in English and their translations into Hebrew
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Normal distribution.
WIKIPEDIA- Normal distribution.
It is going to be pretty close to a normal distribution.
MathWorld- Normal distribution.
But this is going to more and more approach a normal distribution.
The Monte Carlo method gives us a normal distribution of expected points totals for each team.
The NORMSDIST() function returns the standard normal distribution.
Gaussian' because it has a normal distribution in the time domain with an average time domain value of zero.
Standard deviation of the normal distribution.
From the symmetry of the Normal distribution, if AVERAGE(array)< μ0, ZTEST will return a value greater than 0.5.
The Bell Curve represents what statisticians call a"normal distribution.".
If I draw a normal distribution like that, and this is our mean, this 0.9641 number tells us the probability that we are less than 1.8 standard deviations above the mean.
Mean value of the normal distribution.
So over time I'mgoing to have something that's starting to approximate a normal distribution.
Value to which the standard normal distribution is calculated.
X The number for which you want the density of the standard normal distribution.
Type 2 diabetes is diagnosed at all BMI following a normal distribution with no distinct subpopulation of‘thin' diabetics.
A central tendency can be calculated for either a finite set of values orfor a theoretical distribution, such as the normal distribution.
ETS forecasted(with normal distribution).
The confidence interval is the range surrounding each predicted value, in which 95% of future points are expected to fall,based on the forecast(with normal distribution).
The number for which the standard normal distribution is to be calculated.
For example, you can use a normal distribution to characterize the population of individuals' heights, or you can use a Bernoulli distribution of two possible outcomes to characterize the population of coin-flip results.
So if we look at the data for men here,we see what is called a normal distribution curve.
Looking up the"z"-score in a table of the standard normal distribution, we find that the probability of observing a standard normal value below -2.47 is approximately 0.5- 0.4932= 0.0068.
Number is the value of the distribution based on which the normal distribution is to be calculated.
When the data do not follow a normal distribution, it can still be possible to approximate the distribution of these test statistics by a normal distribution by invoking the central limit theorem for large samples, as in the case of Pearson's chi-squared test.
This 0.9641 number that gives you-- so if I draw a normal distribution--let me draw a better normal distribution.
In general overall themost prudent idea to reinstall the tin with a normal distribution that supports working distributive upgrade.