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Damm [24]
3 years ago
12

If line j is parallel to line k, what is the value of x?

Mathematics
1 answer:
Licemer1 [7]3 years ago
6 0

Answer:

x=14

Step-by-step explanation:

two named angles are equal because they are known as corresponding angles; therefore, set them equal to each other

6x+3=87

6x=84

x=14

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The equation 3/4 [x-1]=[-3] is equivalent to?
olga nikolaevna [1]

Answer: x= (-3)

Step-by-step explanation:

3/4 [x-1] = [-3]

(x-1) = (-3) × 4/3

X-1 = -4

X= -3

3 0
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Step-by-step explanation:

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3 years ago
What is the coefficient of the term 6/7 xy? A- 6xy. B-1/7. C-6. D--6/7
bearhunter [10]
D is the correct answer
4 0
3 years ago
Estimate the quotient by rounding each number to the nearest whole number. 33.7/ 9.5
GrogVix [38]

Answer: 34/10=3.4 The estimated quotient is 3.4

Step-by-step explanation: Basically,  you are dividing 33.7 by 9.5, but first you will need to round to the nearest whole number. A whole number does not contain a decimal. 33.7 rounded to the nearest whole number is 34. 9.5 rounded to the nearest whole number is 10. So, you are dividing 34 by 10.  34 divided by 10 is 3.4.

3 0
3 years ago
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? A. The sampling distri
Elenna [48]

Answer: E. All of the above statements are true

Step-by-step explanation:

The mean of sampling distribution of the mean is simply the population mean from which scores were being sampled. This implies that when population has a mean μ, it follows that mean of sampling distribution of mean will also be μ.

It should also be noted that the distribution's shape is symmetric and normal and there are no outliers from its overall pattern.

The statements about the sampling distribution of the sample mean, x-bar that are true include:

• The sampling distribution is normal regardless of the shape of the population distribution, as long as the sample size, n, is large enough.

• The sampling distribution is normal regardless of the sample size, as long as the population distribution is normal. • The sampling distribution's mean is the same as the population mean.

• The sampling distribution's standard deviation is smaller than the population standard deviation.

Therefore, option E is the correct answer as all the options are true.

7 0
3 years ago
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