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Fiesta28 [93]
3 years ago
9

It is ask how many times did it say beetlejuice You could use a buddy

Mathematics
2 answers:
balandron [24]3 years ago
4 0

Answer:

4

Step-by-step explanation:

bc i said so.

STALIN [3.7K]3 years ago
3 0

Answer:

7 times

Step-by-step explanation:

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In one company, 20% of the workers in the technical department applied for vacation at the same time. If 12 workers applied for
FinnZ [79.3K]

Answer:

There are 60 tech workers altogether

Step-by-step explanation:

Let X be the total number of tech workers in the company

Out of X tech employees, 20 % applied for leaves

In totality, 12 tech employees are on leave

Thus,

\frac{20}{100} * X = 12

On solving the above mathematical equation, we get -

X = \frac{12*100}{20} \\X = 60

Hence, there are 60 tech workers altogether

6 0
2 years ago
Help please !!!!?!!!!
Bingel [31]

Answer:

m < 2 = 45°

Step-by-step explanation:

m < 1 and m < 3 are corresponding angles that lie on the same side of the transversal.  Since they are corresponding angles, then it means that they have the same measure.

Therefore, if m < 1 = 135°, then m < 3 = 135°.

Also, the sum of m < 2 and m < 3 = 180° because they are supplementary angles.

Therefore:

m < 2 + m < 3 = 180°

m < 2 + m < 135° = 180°

m < 2 = 180° - m < 135°

m < 2 = 45°

4 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
Two high school students are hired to rake leaves .
Arlecino [84]

Answer:

okay whatever you think

4 0
3 years ago
What grade r u in ( i´m boredd)
Fudgin [204]
I’m in 10th grade :)
3 0
2 years ago
Read 2 more answers
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