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777dan777 [17]
3 years ago
14

Find the volume and solve the application. A steel post is 6 ft. long and 6” thick in diameter. If a cubic foot of steel weighs

490 lb., how much does the rod weigh (to the nearest pound)?
1.) 138
2.) 332
3.) 338
4.) 577
Mathematics
1 answer:
allsm [11]3 years ago
6 0

Answer:

Answer choice 4.  577 pounds


Step-by-step explanation:

Given a cylindrical steel post with dimensions:

  • length/height = 6 ft
  • Radius = half of diameter = 0.5 * 6 = 3 inches [converting to feet, we need to divide inches by 12, so we have \frac{3}{12}=0.25  feet ]

Volume of a cylinder is given as:

Volume = \pi r^{2}h

Substituting all the given values we have:

V=\pi r^{2}h\\V=\pi(0.25)^{2}(6)\\V=0.375\pi\\V=0.375(3.14)\\V=1.1775 cubic feet


<em>Since, 1 cubic foot of steel weights 490, 1.1775 cubic foot of steel would weigh  490*1.1775=576.97</em>

Rounding to nearest pound, we would get 577 pounds as the answer.

Answer choice 4 is correct.

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Sybil has 1/2 of a pizza left over. She wants to share the pizza with 3 of her friends. What fraction of the original pizza will
Helen [10]

Answer: \frac{1}{2\times3}=\frac{1}{6}\text{ of the original pizza.}


Step-by-step explanation:

Given: Sybil has 1/2 of a pizza left over.

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3 years ago
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Suppose the horses in a large stable have a mean weight of 1467lbs, and a standard deviation of 93lbs. What is the probability t
krok68 [10]

Answer:

0.5034 = 50.34% probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable

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 problem, we have that:

\mu = 1467, \sigma = 93, n = 49, s = \frac{93}{\sqrt{49}} = 13.2857

What is the probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable?

This is the pvalue of Z when X = 1467 + 9 = 1476 subtracted by the pvalue of Z when X = 1467 - 9 = 1458.

X = 1476

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

By the Central Limit Theorem

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

Z = \frac{1476 - 1467}{13.2857}

Z = 0.68

Z = 0.68 has a pvalue of 0.7517

X = 1458

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

Z = \frac{1458 - 1467}{13.2857}

Z = -0.68

Z = -0.68 has a pvalue of 0.2483

0.7517 - 0.2483 = 0.5034

0.5034 = 50.34% probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable

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What is 22b+3b simplified
ss7ja [257]

it's a simple addition:

22b + 3b =

25b

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6+3-4×2 using the order of operations
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6+3-4x2 [we do 4x2 first because it's multiplication]
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9-8
= 1
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