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Lapatulllka [165]
3 years ago
15

at the coffee shop 2 bagels wit cream cheese cost 2.50 stephanie want to buy 2 dozen.how much will that cost

Mathematics
2 answers:
diamong [38]3 years ago
6 0

it will cost $30.00

Step-by-step explanation:

a dozen= 12

2 dozen= 24

2.50 ×12= 30

givi [52]3 years ago
4 0

Answer: 30

2.50x12 since its 2.50 for two which means you only multiple by a dozen

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stiks02 [169]
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What is the sum of all the positive integers from <br> √<br> 24<br> to <br> √<br> 102<br> ?
Eva8 [605]

Answer:

The sum of all positive integers is

5 + 6 + 7 + 8 + 9 + 10

              = <em>45</em>

Step-by-step explanation:

Because \sqrt{24} = 4.89 and \sqrt{102} = 10.09

So positive numbers between 4.9 and 10.09 are

 <em>5+6+7+8+9+10 = 45</em>

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What would the graph of the solution to the following inequality look like?
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Answer: A. An OPEN circle on the number 5 and an arrow shading to the RIGHT.

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Suppose the sediment density (g/cm) of a randomly selected specimen from a certain region is normally distributed with mean 2.65
erma4kov [3.2K]

Answer:

Probability that the sample average is at most 3.00 = 0.98030

Probability that the sample average is between 2.65 and 3.00 = 0.4803

Step-by-step explanation:

We are given that the sediment density (g/cm) of a randomly selected specimen from a certain region is normally distributed with mean 2.65 and standard deviation 0.85.

Also, a random sample of 25 specimens is selected.

Let X bar = Sample average sediment density

The z score probability distribution for sample average is given by;

               Z = \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = population mean = 2.65

           \sigma  = standard deviation = 0.85

            n = sample size = 25

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(b) Probability that sample average sediment density is between 2.65 and 3.00 is given by = P(2.65 < X bar < 3.00) = P(X bar < 3) - P(X bar <= 2.65)

P(X bar < 3) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{3-2.65}{\frac{0.85}{\sqrt{25} } } ) = P(Z < 2.06) = 0.98030

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Therefore, P(2.65 < X bar < 3)  = 0.98030 - 0.5 = 0.4803 .

                                                                             

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