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blagie [28]
2 years ago
8

Karlie has a collection of quarters, dimes, and nickels that equal $2.70. If she has 7 quarters and 7 nickels, how many dimes do

es she have? *
Mathematics
1 answer:
iogann1982 [59]2 years ago
4 0

Answer:

22 Dimes

Step-by-step explanation:

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The value of 8 in the number 874,500 is how many times greater than the value of 8 in the number 8,745? 10 100 1,000 10,000
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I divided 8745 by 8 and got 1005 so i would say 1000
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Someone please help (show work)
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Answer:

See answers below :)

Step-by-step explanation:

-2(2 - 5) + 10 + (-5) =

-2(-3) + 10 - 5 =

6 + 10 - 5 =

11

8 - 2(9 - 5)^2 - 1 =

8 - 2(4)^2 - 1 =

8 - 2(16) - 1 =

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2 years ago
David estimates that he will have expenses totaling $24,870 for one year of college, He will receive$7,560 in grants. Howmuch wi
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Since there are 2 semesters per year we have:

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Read 2 more answers
The width of a rectangle is 4 inches (in) and the area of the rectangle is 32 in2? Which of the following represents the length
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Answer:

A. 8

Step-by-step explanation:

32 divided by 4 = 8

5 0
3 years ago
A counselor records the number of disagreements (per session) among couples during group counseling sessions. If the number of d
Shalnov [3]

Answer:

P(X>4)=P(\frac{X-\mu}{\sigma}>\frac{4-\mu}{\sigma})=P(Z>\frac{4-4.4}{0.4})=P(z>-1)

And we can find this probability with the complement rule:

P(z>-1)=1-P(z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the disagreements of a population, and for this case we know the distribution for X is given by:

X \sim N(4.4,0.4)  

Where \mu=4.4 and \sigma=0.4

We are interested on this probability

P(X>4)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>4)=P(\frac{X-\mu}{\sigma}>\frac{4-\mu}{\sigma})=P(Z>\frac{4-4.4}{0.4})=P(z>-1)

And we can find this probability with the complement rule:

P(z>-1)=1-P(z

3 0
3 years ago
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