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makkiz [27]
3 years ago
8

You buy a deluxe box of 45 ornaments for your tree for $15 when you get home and open the box you realize that 10 of the ornamen

ts are broken how much money did you waste and how much money did each ornament cost
Mathematics
1 answer:
iVinArrow [24]3 years ago
6 0

Answer:

$ wasted: 3.33, Each Ornament Cost: $0.33

Step-by-step explanation:

45 ornaments cost $15

Divide both by three

3 ornaments cost $1

If 10 ornaments are wasted, then multiply 1 by 10/3, which equals 3.33.

Since 3 ornaments cost $1, divide 1 by 3 to get 0.33

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480 bottles because 300 divided by 5 is 60 so then you multiply 60 by 8 and you get 480!
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I have a test tomorrow, I don't get how my teacher got 3 2/3 not this problem. If you answer, please show your work, so I can se
gogolik [260]
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Which expression is equivalent to 20c – 8d?
Vedmedyk [2.9K]

hope this helped is not sorry

3 0
3 years ago
Can someone please help me?
Sever21 [200]

Answer:

B.

Step-by-step explanation:

The problem is saying 2/5 squared by -2 times -3 multiplied by itself 4 times.

2/5 multiplied by itself -2 times looks like this: -2/5 times -2/5.

-3 multiplied by itself 4 times looks like this: -3 times -3 times -3 times -3.

Put the two together and it looks like B.

4 0
3 years ago
Assume that blood pressure readings are normally distributed with a mean of 115 and a standard deviation of 8. If 100 people are
Sergeu [11.5K]

Answer:

D. 0.9938.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 115 and a standard deviation of 8.

This means that \mu = 115, \sigma = 8

100 people are randomly selected

This means that n = 100, s = \frac{8}{\sqrt{100}} = 0.8

Find the probability that their mean blood pressure will be less than 117.

This is the p-value of Z when X = 117, so:

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{117 - 115}{0.8}

Z = 2.5

Z = 2.5 has a p-value of 0.9938, and thus, the correct answer is given by option D.

8 0
3 years ago
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