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vagabundo [1.1K]
3 years ago
5

If x=5 and 5=y, then x=y

Mathematics
1 answer:
kirill115 [55]3 years ago
5 0

Answer:

a

Step-by-step explanation:

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Look at the photo pick A B C D either one explanation not needed thank you! <3
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Answer:

A?

Step-by-step explanation:

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225 to 270 I need help please help me
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Wheres the picture or the problem????
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Sharon spent $3.45 on sunflower seeds the price of sunflower seeds is $0.89 per pound how many pounds of sunflower seeds does Sh
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3.45 Divided by 0.89 = a little more than 3 pounds.
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M&lt;1= 4x and m&lt;2= 2x-6<br><br> 4x=2x-6<br><br> What is the value of x?
Kazeer [188]

Answer:-3

Just simplify the equation and you will x=-3

5 0
3 years ago
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the la
o-na [289]

Answer:

0.6568 = 65.68% probability that she would be correct.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so.

This means that:

\mu = \frac{45000 + 45500 + 44500 + 46000 + 44000}{5} = 45000

Standard deviation of 1500 units.

This means that \sigma = 1500

What is the likelihood that she would be correct if she predicts sales between 43000 and 46000?

This is the pvalue of Z when X = 46000 subtracted by the pvalue of Z when X = 43000. So

X = 46000

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

Z = \frac{46000 - 45000}{1500}

Z = 0.67

Z = 0.67 has a pvalue of 0.7486

X = 43000

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

Z = \frac{43000 - 45000}{1500}

Z = -1.33

Z = -1.33 has a pvalue of 0.0918

0.7486 - 0.0918 = 0.6568

0.6568 = 65.68% probability that she would be correct.

5 0
3 years ago
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