Примери за използване на Is going to be the same thing на Английски и техните преводи на Български
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Ecclesiastic
-
Computer
So, this is going to be the same thing as….
Well just like we saw before, this is going to be the same thing.
And 450 is going to be the same thing as 90.
So 2 you could say, well, this is gonna be the same thing, 2 to the negative 4 is going to be the same thing as taking my reciprocal.
So this is going to be the same thing as this.
And if the surface is smooth,the incident angle is going to be the same thing as the reflected angle.
Or, which is going to be the same thing, as 8 plus 8 plus 8 plus 8.
Well if you raise something to an exponent, andthen raise that whole thing to another exponent, this is going to be the same thing.
And their attitude is going to be the same thing.
This is going to be the same thing, this is going to be the exact same thing, as -3 plus -7.
So this is going to be the same thing as 3 times 3 times 3 times x times x times x.
And the mean of the sampling distribution of the sample mean is going to be the same thing as the population mean.
So 21/4 times 8 is going to be the same thing is 21 times 2, which is equal to 42.
So the ratio of d0 to d1 is, let me write this over here,so the ratio of d0 to d1… This is the ratio of corresponding sides, is going to be the same thing.
So one times x is going to be the same thing as one times 0.
So we can also say that this thing, let me do this in another colour, I don't want to be repetitive too much with the colours,we can say that this thing is going to be the same thing as this thing.
Well, this length plus 5 feet is going to be the same thing as this length over here.
This is going to be the same thing as 27 to the 1/3 power and then that squared because 1/3 times 2 is 2/3.
So the mean of the sampling distribution for this sample proportion,for the women, which is going to be the same thing as the mean of the population, which we already saw is going to be equal to P2.
So this is going to be the same thing as r to the 2/3 squared times s to the third squared.
And the central limit theorem told us that assuming that we have a sufficient sample size,this thing right here, this thing is going to be the same thing as… the standard deviation of our population divided by the square root of our sample size.
So this is going to be the same thing as a plus the square root of 9 times a minus the square root of 9.
So if you can make that assumption, you could say that the probability of getting heads and heads, or heads andthen heads, is going to be the same thing as the probability of getting heads on the first flip times the probability of getting heads on the second flip.
Over 5 8ths squared, which is going to be the same thing, which is going to be the same thing, so this is going to be equal to, trying to color code it, 1 over 5 8ths times 5 8ths, which is 25 over 60, 25 over 64.
But this property of exponents is the idea that-- let's say with a simple number-- if I raise something to the third power and then I were to raise that to, say, the fourth power,this is going to be the same thing as raising it to the 2 to the 3 times 4 power, or 2 to the 12th power, which you could also write as raising it to the fourth power and then the third power.
And if we write it that way, then this is going to be the same thing as-- let's write it this way-- 1 over 9 squared, which is 81, times 3/2 to the n times 1 over 9 to the n is the same thing as 1 over 9 to the n.
So if you make that assumption, you could say that the probability of getting heads and heads, or heads andthen heads is going to be the same thing as getting probability… as the probability of getting heads on the first flip times the probability of getting heads on the second flip.
This is going to be the same thing as 1.45-- that's that right there-- times 9.2 times 3.01 times 10 to the eighth-- let me do that in that purple color-- times 10 to the eighth times 10 to the negative 12th power times 10 to the negative fifth power.
And we know that this is going to be the same thing as the population mean for that random variable.