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wel
2 years ago
11

Find the measure of xcan you please do it's a request ​

Mathematics
1 answer:
Anna [14]2 years ago
3 0

Answer:

x = 80

Step-by-step explanation:

Total = 360

90 + 50 + 90 + 50 = 280

360 -280 = 80

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Which is greater 10 yards or 360 inches
Gnom [1K]
1 yard= 36 inches
10 yards* 36= 360 inches.
360 inches= 360 inches

So, 10 yards and 360 inches are equal.

7 0
3 years ago
Read 2 more answers
All of the following are equivalent except<br> 7x2<br> 4x+3x<br> (4+3)x<br> 7x
swat32

Answer:

7x2

Step-by-step explanation:

7x2 is 14 and all the other ones equal 7

6 0
3 years ago
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An Epson inkjet printer ad advertises that the black ink cartridge will provide enough ink for an average of 245 pages. Assume t
Neko [114]

Answer:

35.2% probability that the sample mean will be 246 pages or more

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 normally distributed samples are solved using 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.

Central Limit Theorem

The Central Limit Theorem estabilishes 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.

In this question, we have that:

\mu = 245 \sigma = 15, n = 33, s = \frac{15}{\sqrt{33}} = 2.61

What the probability that the sample mean will be 246 pages or more?

This is 1 subtracted by the pvalue of Z when X = 246. So

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

By the Central Limit Theorem

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

Z = \frac{246 - 245}{2.61}

Z = 0.38

Z = 0.38 has a pvalue of 0.6480.

1 - 0.6480 = 0.3520

35.2% probability that the sample mean will be 246 pages or more

4 0
3 years ago
HI PLS HURRY !!
VARVARA [1.3K]

Step-by-step explanation:

234751

100% sure

Goood luck.

5 0
2 years ago
Does anyone get this ???
nikklg [1K]

Answer:

no. sorry. :(

Step-by-step explanation:

8 0
3 years ago
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