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timofeeve [1]
3 years ago
7

How many fractions are equivalent to 4/5

Mathematics
2 answers:
Sidana [21]3 years ago
6 0

There are an infinite number of them.

-- Think of any number.

-- Multiply  4  by your number.  Write it on top.

-- Multiply  5  by your number.  Write it on the bottom.

-- You have a new fraction that's equivalent to  4/5 .

How many different numbers can you think of ?
That's how many new fractions you can create
that are ALL equivalent to  4/5 .

denis23 [38]3 years ago
3 0
There is an infinite amount of numbers equivalent to 4/5 such as:
8/10,12/15.16/20,20/25
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Bobby and Sue Ellan both ride their bikes to the library. Bobby’s home is 6.5 blocks from the library and Sue Ellan’s home is 1
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Answer:

3.25 blocks

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6.5 * 1.5 = 9.75 blocks

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2 years ago
D'Quans grandmother made a quilt for his bed.the quilt is 2.44 meters long and 1.83 meters wide.what is the area of the quilt in
Ede4ka [16]
The best way to do this is to first change each of the measurements into feet and then calculate the area:

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4 years ago
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A Ski resort tracks the proportion of seasonal employees who are rehired each season. Rehiring a seasonal employee is beneficial
DaniilM [7]

The test statistic z will be equal to -0.946 and it shows that there is no significant difference in the proportion of rehires between full time and part time.

Given sample sizes of 833 and 386 and result of samples 434 and 189.

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Proportion  of full time=434/833=0.52

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Difference in proportion =0.52-0.49

H_{0}:TTF- i∈ rho=0

H_{1}: TTF+i∈ rho≠0.

Mean of difference=0.03

Z=(X-μ)/σ

σ=\sqrt{0.4517/447}

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σ=0.0317

z=(0-0.03)/0.0317

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Learn more about z test at brainly.com/question/14453510

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6 0
2 years ago
Intravenous fluid bags are filled by an automated filling machine. Assume that the fill volumes of the bags are independent, nor
iren2701 [21]

Answer:

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(\mu,0.08)  

Where \mu and \sigma=0.08

Since the distribution for X is normal then the  we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error is given by:

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Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(\mu,0.08)  

Where \mu and \sigma=0.08

Since the distribution for X is normal then the  we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error is given by:

SE= \frac{0.08}{\sqrt{24}}= 0.0163

8 0
3 years ago
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