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valina [46]
3 years ago
10

You are building identical displays for the school fair using 65 blue boxes and 91 yellow boxes. What is the greatest number of

displays you can build using all the boxes?
Mathematics
2 answers:
KiRa [710]3 years ago
7 0

Answer:

The greatest number of displays that can be built using all the boxes are 13

(Using 5 blue boxes and 7 yellow boxes for each display).

Step-by-step explanation:

In order to answer the question, the first step is to divide the number of blue boxes and yellow boxes and look for a common ratio ⇒

\frac{65}{91}=\frac{5}{7}

This means that we have a ratio 5:7 for blue boxes and yellow boxes.

We find that each display will have 5 blue boxes and 7 yellow boxes.

To find the greatest number of displays that can be built we can do the following calculation

\frac{65}{5}=13

Or

\frac{91}{7}=13

(We can divide the number of blue boxes by its correspond ratio number or the number of yellow boxes by its correspond ratio number)

In each cases the result is 13 displays.

The answer is 13 identical displays

Tems11 [23]3 years ago
7 0

Answer:

13

Step-by-step explanation:

The problem requires us to find the greatest number of displays that can be built using all the boxes.  

This is an application of the Greatest Common Factor.

DEFINITION

The GCF of two or more numbers is the biggest number that divides exactly into the numbers.

To find the GCF, we follow the steps below:

<u>Step 1</u>

We break down both numbers into product of prime factors.

65=5 X 13

91 =7 X 13

<u>Step 2</u>

We choose the common factors with the smallest exponent

Therefore the greatest common factor is 13.

The greatest number of displays can be built using all the boxes is 13.

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The pucks used by the National Hockey League for ice hockey must weigh between and ounces. Suppose the weights of pucks produced
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Answer:

P(5.5

And we can find this probability using the normal standard distribution or excel and we got:

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Step-by-step explanation:

For this case we assume the following complete question: "The pucks used by the National Hockey League for ice hockey must weigh between 5.5 and 6 ounces. Suppose the weights of pucks produced at a factory are normally distributed with a mean of 5.86 ounces and a standard deviation of 0.13ounces. What percentage of the pucks produced at this factory cannot be used by the National Hockey League? Round your answer to two decimal places. "

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 weights of a population, and for this case we know the distribution for X is given by:

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We are interested on this probability

P(5.5

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(5.5

And we can find this probability using the normal standard distribution or excel and we got:

P(-2.769

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