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icang [17]
4 years ago
13

Which term is a perfect square of the root 3x^4?

Mathematics
1 answer:
Masteriza [31]4 years ago
6 0

Answer:

9x^8

Step-by-step explanation:

A perfect square is a number that has a whole number square rooth. Therefore we need to find two numbers 'a' and 'b' that satisfy the following equation:

3x^4 = sqrt(ax^b)

(3x^4)^2 = ax^b

9x^8 = ax^b

a=9 and b=8.

Therefore, the term 9x^8 is a perfect square of the root 3x^4.

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Step-by-step explanation:

the first option is the correct answer.

5 0
3 years ago
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Finds the solutions to x^2=20
ELEN [110]

Answer:

the solution of:

x²=20

√x² = √(2² × 5)

x=2√5

So the answer is

A. x= ±2√5

6 0
3 years ago
Rewrite using the Distributive Property and GCF 13+36
Angelina_Jolie [31]

Answer:

Step-by-step explanation:

13 and 36 have no common factor except 1.

Perhaps you meant that the 13 should be 12. In that case

GCF

  • 12 = 2*2*3
  • 36 = 2*2 *3 * 3

The greatest common factor is 2 * 2 * 3

If there is a number that is not bolded, it is what is left behind inside the backets the distributive property creates.

Answer:<em> </em><em>12(1 + 3)</em>

<em />

Note: the 1 is part of the answer inside the brackets when one of the numbers inside the brackets and the GCF are the same

4 0
2 years ago
A function of random variables used to estimate a parameter of a distribution is a/an _____.
stiks02 [169]

A function of random variables utilized to calculate a parameter of distribution exists as an unbiased estimator.

<h3>What are the parameters of a random variable?</h3>

A function of random variables utilized to calculate a parameter of distribution exists as an unbiased estimator.

An unbiased estimator exists in which the difference between the estimator and the population parameter grows smaller as the sample size grows larger. This simply indicates that an unbiased estimator catches the true population value of the parameter on average, this exists because the mean of its sampling distribution exists the truth.

Also, we comprehend that the bias of an estimator (b) that estimates a parameter (p) exists given by; E(b) - p

Therefore, an unbiased estimator exists as an estimator that contains an expected value that exists equivalent to the parameter i.e the value of its bias exists equivalent to zero.

Generally, in statistical analysis, the sample mean exists as an unbiased estimator of the population mean while the sample variance exists as an unbiased estimator of the population variance.

Therefore, the correct answer is an unbiased estimator.

To learn more about unbiased estimators refer to:

brainly.com/question/22777338

#SPJ4

4 0
1 year ago
Four consecutive odd integers add up to 288. which integers are they?
murzikaleks [220]
Let the smallest integer be x
x + (x+2) + (x+4) + (x+6) = 288
4x +12 =288
4x= 276
x = 69
The integers are 69, 71, 73 and 75
5 0
3 years ago
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