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Roman55 [17]
3 years ago
11

Find the area of the large and small rectangles :,))

Mathematics
2 answers:
nasty-shy [4]3 years ago
8 0

Answer:

Area of large rectangle = 120m²

Area of small rectangle = 14m²

Step-by-step explanation:

<u>Large rectangle:</u>

Length = 12m

Breadth = 10m

Area of rectangle = l × b

Area = 12 × 10

Area = 120m²

<u>Small rectangle:</u>

Length = 7m

Breadth = 2m

Area of rectangle = l × b

Area = 7 × 2

Area = 14m²

-BARSIC- [3]3 years ago
5 0

Answer:

the area of the large rectangle is 120m squared in the area of the smaller triangle is 14m squared

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The probability that an archer hits a target when he shoots an arrow is 0.7. The archer shoots two
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Answer:

The tree diagram is shown in the tree diagram is shown.

If the probability to hit is 0.7, then the probability to miss is 0.3.

P(hit, hit) = 0.7*0.7 = 0.49

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P(miss, hit) = 0.3*0.7 = 0.21

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6 0
3 years ago
In an election 32 thousand people voted for Mayor Jackson . A total of 56 thousand people voted in the election . What is the ra
Anestetic [448]

Answer:

3/7

Step-by-step explanation:

to find the ratio of the number of votes that weren’t mayor jackson you do 56-32. the ratio will be 24/56. now you just simplify to get 3/7

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Monica has 2 gallons of milk to make milkshakes. Each milkshake contains 1 cup of milk. There are 128 ounces in 1 gallon and 8 o
OlgaM077 [116]

Answer: 32 cups of milk

Step-by-step explanation:

The first thing to do is to convert the gallons of milk to milkshakes so that you are able to convert easier to cups.

There are 128 ounces in 1 gallon and Monica has 2 gallons. The amount of milk Monica has in ounces is:

= 128 * 2

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Each cup is capable of holding 8 ounces and there are 256 ounces available so the number of cups of milk is:

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3 0
3 years ago
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 201.9-cm and a standard dev
Nesterboy [21]

Answer:

There is a 0.08% probability that the average length of a randomly selected bundle of steel rods is greater than 204.1-cm.

Step-by-step explanation:

Problems of normally distributed samples can be 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.

In this problem, we have that:

A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 201.9-cm and a standard deviation of 2.1-cm. This means that \mu = 201.9, \sigma = 2.1.

For shipment, 9 steel rods are bundled together. Find the probability that the average length of a randomly selected bundle of steel rods is greater than 204.1-cm.

By the Central Limit Theorem, since we are using the mean of the sample, we have to use the standard deviation of the sample in the Z formula. That is:

s = \frac{\sigma}{\sqrt{n}} = \frac{2.1}{\sqrt{9}} = 0.7

This probability is 1 subtracted by the pvalue of Z when X = 204.1.

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

Z = \frac{204.1 - 201.9}{0.7}

Z = 3.14

Z = 3.14 has a pvalue of 0.9992. This means that there is a 1-0.9992 = 0.0008 = 0.08% probability that the average length of a randomly selected bundle of steel rods is greater than 204.1-cm.

3 0
3 years ago
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