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Dafna11 [192]
3 years ago
12

(-7x+8y-2z)+(-9x-y+6z)​

Mathematics
2 answers:
Svetach [21]3 years ago
3 0

Answer: the answer is -16x+7y+4z

Step-by-step explanation:

iren2701 [21]3 years ago
3 0

Answer: -16x+7y+4z

Hope it helped

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Mark has an $879 annual base premium. If he is 21, what will he pay for the policy? $2,567.29 $1,500.15 $2,115.90 $1,889.85
Dmitrij [34]

Answer:

d- 1889.85

Step-by-step explanation:

8 0
3 years ago
What is 5/6 mutlipulyed by 2 2/3
melisa1 [442]

Answer:

20/9

Step-by-step explanation:

Turn 2_2/3 into fraction.

(2 x 3) = 6 + 2 = 8: fraction- 8/3

5/6 x 8/3 = 20/9

7 0
3 years ago
Read 2 more answers
Find the indicated probability or percentage for the sampling error. The distribution of weekly salaries at a large company is r
Flauer [41]

Answer:

The probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

Step-by-step explanation:

According to the Central Limit Theorem if we have a non-normal population with mean <em>μ</em> and standard deviation <em>σ</em> and appropriately huge random samples (<em>n</em> > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

Then, the mean of the distribution of sample means is given by,

\mu_{\bar x}=\mu

And the standard deviation of the distribution of sample means is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

The information provided is:

\mu=\$1000\\\sigma=\$370\\n=80

As <em>n</em> = 80 > 30, the central limit theorem can be used to approximate the sampling distribution of sample mean weekly salaries.

Let \bar X represent the sample mean weekly salaries.

The distribution of \bar X is: \bar X\sim N(\$1000,\ \$41.37)

Now we need to compute the probability of the sampling error made in estimating the mean weekly salary to be at most $75.

The sampling error is the the difference between the estimated value of the parameter and the actual value of the parameter, i.e. in this case the sampling error is, |\bar X-\mu|= 75.

Compute the probability as follows:

P(-75

                                     =P(-1.81

Thus, the probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

3 0
3 years ago
Determine the value of x<br> 2.12 units<br> 2.02 units<br> 12.38 units<br> 0.49 units
Olin [163]
I believe the answer is 2.02
8 0
3 years ago
Five years ago alex was 12 times as old as tom alex is 41 now how old is tom now
anastassius [24]

Step-by-step explanation:

I think this will help you. Thanks.

8 0
3 years ago
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