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Sidana [21]
3 years ago
9

Which expression is equivalent to 2 + 3(x - 6)?

Mathematics
1 answer:
EastWind [94]3 years ago
8 0

Answer:

C)  2 + 3 x - 18

Step-by-step explanation:

<u><em>Explanation:-</em></u>

Given expression  2+ 3(x-6)

                 ⇒  2 + 3 x - 18

               ⇒    3 x - 16

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pychu [463]

Answer:

<u>⅓</u>

<h2>Step-by-step explanation:</h2>

\frac{5}{9}  \times  \frac{3}{5}

=  \frac{1}{3}  \times  \frac{1}{1}

=  \frac{1}{3}

<h2>Checking:</h2>

\frac{1}{3}  \div  \frac{3}{5}

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Answer:

6 cups per month

Step-by-step explanation:

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Am amount of $36,000 is borrowed for 12 year of 5% interest,compounded annually.If the loan is paid in full at the end of that p
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Step-by-step explanation:

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3 years ago
A Packaging Company produces boxes out of cardboard and has a specified weight of 16 oz. A random sample of 36 boxes yielded a s
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Answer:

The margin of error is of 0.73 oz.

The 99% confidence interval for the true mean weight of the boxes is between 14.57 oz and 16.03 oz. This means that we are 99% sure that the true mean weight of all boxed produced by the Packaging Company is between these two values, and that the specified weight is in this interval.

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1 - 0.99}{2} = 0.005

Now, we have to find z in the Ztable as such z has a pvalue of 1 - \alpha.

That is z with a pvalue of 1 - 0.005 = 0.995, so Z = 2.575.

Now, find the margin of error M as such

M = z\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

M = 2.575\frac{1.7}{\sqrt{36}} = 0.73

The margin of error is of 0.73 oz.

The lower end of the interval is the sample mean subtracted by M. So it is 15.3 - 0.73 = 14.57 oz.

The upper end of the interval is the sample mean added to M. So it is 15.3 + 0.73 = 16.03 oz.

The 99% confidence interval for the true mean weight of the boxes is between 14.57 oz and 16.03 oz. This means that we are 99% sure that the true mean weight of all boxed produced by the Packaging Company is between these two values, and that the specified weight is in this interval.

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