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mel-nik [20]
3 years ago
8

A small box measures 3 in. by 6 in. by 3/4in. high. Find the volume of the box.

Mathematics
2 answers:
iogann1982 [59]3 years ago
6 0

The other way is to multiply the feet together and get cubic feet then convert it to cubic inches

You have 84 cubic feet

To convert to cubic inches you take 84 and mutliply it by 123 inches

84 ft3 * 12 in * 12 in * 12 in

Svetradugi [14.3K]3 years ago
4 0
13.5
3•6•3/4
first 3/4=.75 next multiply
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The product of 5 and a number is at least 20.
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Step-by-step explanation:

the answer is 5x\geq 20

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If the sin 30° is 1 over 2, then the cos ____° = _____. (4 points) 60° ; 1 over 2 30° ; square root 2 over 2 60° ; square root 3
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\sin 30 \degree =  \cos 60 \degree = \frac{1}{2}  \\

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Jaden is building a fence around his yard. He wants to know how much fencing he needs. His yard is shaped like a rectangle that
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Step-by-step explanation:

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4 years ago
The mean weight of an adult is 69 kilograms with a variance of 121. If 31 adults are randomly selected, what is the probability
amid [387]

Answer:

0.2236 = 22.36% probability that the sample mean would be greater than 70.5 kilograms.

Step-by-step explanation:

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

Also, important to remember that the standard deviation is the square root of the variance.

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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 69, \sigma = \sqrt{121} = 11, n = 31, s = \frac{11}{\sqrt{31}} = 1.97565

What is the probability that the sample mean would be greater than 70.5 kilograms?

This is 1 subtracted by the pvalue of Z when X = 70.5. So

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

By the Central limit theorem

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

Z = \frac{70.5 - 69}{1.97565}

Z = 0.76

Z = 0.76 has a pvalue of 0.7764

1 - 0.7764 = 0.2236

0.2236 = 22.36% probability that the sample mean would be greater than 70.5 kilograms.

8 0
3 years ago
Kenny bought 20 packs of baseball cards. There are 12 cards in rack pack. How many cards did Kenny buy?
uranmaximum [27]
If Kenny bought 20 packs of baseball cards and there are 12 cards in a pack, you can calculate how many cards did Kenny buy using the following steps:

20 packs of cards * 12 cards in a pack = 20 * 12 = 240 cards

Result: Kenny bought 240 cards.
6 0
3 years ago
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