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Allushta [10]
3 years ago
11

Please help will give brain

Mathematics
1 answer:
mr_godi [17]3 years ago
3 0
It would take 3 1/2 minutes to make 126 copies
So thats 3 minutes and 30 seconds
To figure this out you just do 126÷3 which equals 3.5
Because theres the .5 thats half of a full minute which is 60 seconds and half of that is 30 seconds
Therefore its 3 minutes and 30 seconds
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almond37 [142]
10-6v+9v=28
10+3v=28
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3v=18
3 3
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7 0
3 years ago
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If brady has 16 ounces of water and jazmine has 3pints of water hiw many pints does jazmine have?
butalik [34]
If brady has 16 oz he has 1 pint. Jazmine has 3 pints therefore she has 48 oz.

6 0
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NEED HELPPPPP!!!!please
lbvjy [14]

Answer: A) 4.8 CM

Step-by-step explanation:

4 0
3 years ago
A simple random sample of size nequals10 is obtained from a population with muequals68 and sigmaequals15. ​(a) What must be true
valentina_108 [34]

Answer:

(a) The distribution of the sample mean (\bar x) is <em>N</em> (68, 4.74²).

(b) The value of P(\bar X is 0.7642.

(c) The value of P(\bar X\geq 69.1) is 0.3670.

Step-by-step explanation:

A random sample of size <em>n</em> = 10 is selected from a population.

Let the population be made up of the random variable <em>X</em>.

The mean and standard deviation of <em>X</em> are:

\mu=68\\\sigma=15

(a)

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

Since the sample selected is not large, i.e. <em>n</em> = 10 < 30, for the distribution of the sample mean will be approximately normally distributed, the population from which the sample is selected must be normally distributed.

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

\mu_{\bar x}=\mu=68

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

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}=\frac{15}{\sqrt{10}}=4.74

Thus, the distribution of the sample mean (\bar x) is <em>N</em> (68, 4.74²).

(b)

Compute the value of P(\bar X as follows:

P(\bar X

                    =P(Z

*Use a <em>z</em>-table for the probability.

Thus, the value of P(\bar X is 0.7642.

(c)

Compute the value of P(\bar X\geq 69.1) as follows:

Apply continuity correction as follows:

P(\bar X\geq 69.1)=P(\bar X> 69.1+0.5)

                    =P(\bar X>69.6)

                    =P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}}>\frac{69.6-68}{4.74})

                    =P(Z>0.34)\\=1-P(Z

Thus, the value of P(\bar X\geq 69.1) is 0.3670.

7 0
4 years ago
Which pair of angles are congruent or supplementary
Fittoniya [83]
Angles 1 and 3 are supplementary
6 0
3 years ago
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