Приклади вживання This probability Англійська мовою та їх переклад на Українською
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
This probability is much higher.
Let's define this probability.
This probability can be measured.
Let's denote this probability by p.
This probability is very, very close to 0.
Люди також перекладають
Can we increase this probability?
And this probability is quite high.
But if the infection during pregnancy, this probability increases.
This probability can be approximated as.
In the simplified models that have been examined so far, this probability turns out to be high;
This probability is typically 5%.
During pregnancy, there is also the possibility of inflammation, but this probability is significantly less.
This probability is called statistical power.
Although none of us have a hundred percent possibility to be protected from various diseases, this probability can be significantly reduced.
So this probability is pretty darn close to 0.
The ease of obtaining tissue from induced abortions incomparison with the expectation of unforeseen miscarriage supports this probability”.
This probability is known as statistical power.
Parents who are related to each other can pass on to thechild the same form of the defective gene- and this probability increases as the relationship is close.
This probability has always been taken into account by us.
Most interestingly, this probability was not tied to other risk factors.
This probability surpasses 1/2 for n= 23(with value about 50.7%).
As statistical analysis has shown this probability was appreciably above than in other areas, however this fact cannot form the basis for any conclusion.
This probability increases to 17% if one parent uses the left hand.
To use the normal approximation to calculate this probability, we should first acknowledge that the normal distribution is continuous and apply the continuity correction.
This probability must be considered when conducting a differential diagnosis of cough.
I would view this probability at 50/50 or even 75/25 in favor of advancing.
This probability determines the likelihood that the alternative has to fulfill the expected goal.
Formally, this probability can be calculated using Bayes' theorem, as shown above.
And to figure out this probability, we really just have to figure out how many of those possibilities involve getting three heads.
So to figure out this probability, a good place to start is just to think about all of the different possible ways that we can flip 3 coins.