Answer:
Let's solve the problem step-by-step:
We are given that the sum of three numbers is 2100. Let's call the first number x and the other two numbers y and z.
From the information given, we know that x = y + z, and y = z (the other two numbers are equal to each other).
Substituting y = z into x = y + z, we have x = 2z.
We are also given that the sum of the three numbers is 2100. So, we can write the equation x + y + z = 2100.
Substituting x = 2z and y = z, we have 2z + z + z = 2100.
Simplifying the equation, we have 4z = 2100.
Dividing both sides of the equation by 4, we find z = 525.
Substituting z = 525 back into y = z, we find y = 525.
Finally, substituting z = 525 and y = 525 back into x = 2z, we find x = 1050.
Therefore, the three numbers are x = 1050, y = 525, and z = 525.
Among the options provided, the correct answer is A) (1050, 525, 525).
Answer: 140
Step-by-step explanation:
First we do all the multiplication parts due to BODMAS. This will now become:
==> 295 - 125 - 30 = 140
Answer:
1320
Step-by-step explanation:
59x5=295
295-25=270
270x5=1350
1350-30=1320
Answer: Coefficient
Step-by-step explanation:
When solving for an unknown variable that has a number preceding it, you will divide both sides of the equation by this number, which is known as the coefficient.
A coefficient is a number preceding any variable in a function for example, given the function 4x, the variable is 'x' and the number preceding it is 4. This number preceding the variable is what we call 'coefficient' of the variable 'x'
The standard error is calculated as the standard deviation divided by the square root of the sample size. For a population with a standard deviation of 6 and a sample size of 50, the standard error is 6 / sqrt(50).
The standard error can be defined as the standard deviation divided by the square root of the number of samples. It helps to estimate the variability in the population. In this case, the mean is 64, the standard deviation is 6, and the sample size is 50. The equation to calculate the standard error is:
Plugging in the values given in the question, we get:
. After performing the division, you will get the standard error of the mean which tells you how far your sample mean could be from the true population mean.
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(x^3+2x^2-4)+(3x^2+6)
Answer:
x³+5x²+2
Step-by-step explanation:
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