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nekit [7.7K]
3 years ago
12

the perimeter of a rectangle is 54 meters. one side is 3 meters less than four times the length of the other side.

Mathematics
1 answer:
Firdavs [7]3 years ago
3 0
54 = 2(4x-3) + 2(x)
54 = 8x-6 + 2x
60 = 10x
6 = x
so two sides are 6 meters, and the other 2 sides are 21 meters
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The mean height of a Clydesdale horse is 72 inches with a standard deviation of 1.2 inches. What is the probability that a Clyde
Lubov Fominskaja [6]

Answer:

0.0062

Step-by-step explanation:

Given that:

Mean (μ) = 72 inches, Standard deviation (σ) = 1.2 inches.

The z score is a measure in statistics is used to determine by how many standard deviation the raw score is above or below the mean. If the raw score is above the mean, the z score is positive and if the raw score is below the mean, the z score is negative.

The z score is given as:

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

For Clydesdale is greater than 75 inches tall, x = 75 inches, the z score is:

z=\frac{x-\mu}{\sigma}=\frac{75-72}{1.2} =2.5

The probability that a Clydesdale is greater than 75 inches tall = P(X > 75) = P(Z > 2.5) = 1 - P(Z < 2.5) = 1 - 0.9938 = 0.0062 = 0.62%

The probability that a Clydesdale is greater than 75 inches tall is 0.62%

3 0
4 years ago
Parts being manufactured at a plant are supposed to weigh 65 grams. Suppose the distribution of weights has a Normal distributio
andrew-mc [135]

Answer:

0.64%.

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 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.

Mean of 75 grams and a standard deviation of 22 grams.

This means that \mu = 75, \sigma = 22

Sample of 144:

This means that n = 144, s = \frac{22}{\sqrt{144}} = 1.8333

More than 80 or less than 70:

Both are the same distance from the mean, so we find one probability and multiply by 2.

The probability that it is less than 70 is the pvalue of Z when X = 70. So

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

By the Central Limit Theorem

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

Z = \frac{70 - 75}{1.8333}

Z = -2.73

Z = -2.73 has a pvalue of 0.0032

2*0.0032 = 0.0064.

0.0064*100% = 0.64%

The probability is 0.64%.

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3 years ago
Khalil has 13.5 M of lanyard he needs to cut the lanyards into pieces that are 90 cm long how many full-length pieces of a lanya
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We have been given that Khalil has 13.5 M of lanyard. He needs to cut the lanyards into pieces that are 90 cm long. We are asked to find the number of full-length pieces of a lanyard will Khalil be able to cut.

First of all, we will convert 13.5 meter into cm.

1 meter = 100 cm

13.5 meters = 13.5*100 = 1350 cm.

Now we will divide 1350 by 90 to find number of pieces of lanyard that can be cut from 1350 cm.

\text{Number of full-length pieces of a lanyard}=\frac{1350}{90}

\text{Number of full-length pieces of a lanyard}=15

Therefore, Khalil will be able to cut 15 full-length pieces of a lanyard.

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Answer:

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Step-by-step explanation:

Multiply 3 by 4

12x^y-4⋅3

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Jasmine wants to earn $2,000 in simple interest through a
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Answer:

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