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kakasveta [241]
3 years ago
15

Which fraction has a value that's equal to 7/8?

Mathematics
2 answers:
mr Goodwill [35]3 years ago
8 0
Four options are given for this question, which are: 15/8, 49/64, 56/8 and 21/24.
7/8 = 0.875
15/8 = 1.875
49/64 = 0.7656
56/8 = 7
21/24 = 0.875.
The fraction that has a value that corresponds with that of 7/8 is 21/24, therefore, 21/24 is the correct option.

OLEGan [10]3 years ago
7 0
<span>21/24 is the answer that have the value that's equal to 7/8</span>
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Luke bought three canvas boxes to store his papers. The canvas boxes have dimensions of 12 inches by 10 inches by 12 inches. Wha
irga5000 [103]

Answer: 4,320 inches cubed.

Step-by-step explanation:

step 1----- Volume of 1 canvas box

Volume of solid  for a rectangular box = Length x width xHeight

where  Length= 12inches,

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Height= 12 inches

Volume  of a Canvas box= 12 X 10 X 12= 1440 inches cubed

Step 2== Volume of 3 canvas boxes

1 canvas box = 1440 inches cubed

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1440 x 3= 4320 inches cubed.

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Natalka [10]
The answer to this question is 12
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What is missing for the following quantity to be true? (3y*5b)*10 = __(5b*10)
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<span>(3y*5b)*10 = __(5b*10)

</span>15yb *10 = __(5b*10)
150yb = 3y(50b)= 150yb

Do you have any questions?

3y is the answer<span>.</span>
5 0
3 years ago
this reading selection is a special kind of advertisement called a... a.diagram b.flier c.menu d.fhoto please answer
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it is known that the population proton of utha residnet that are members of the church of jesus christ 0l6 suppose a random samp
Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

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 establishes 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

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

By the Central Limit Theorem

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

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
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