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Mademuasel [1]
3 years ago
7

Ten times as many as 100 is

Mathematics
2 answers:
mrs_skeptik [129]3 years ago
5 0
10x100=1,000 because it is ten hundreds so 1,000 is your answer
jekas [21]3 years ago
4 0
10 x 100 = 1,000
SO THE ANSWER IS
           1,000
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Find the perimeter of an isosceles triangle. base edge = 23cm and vertex angle = 42°
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Whats the equation for the slopes (-3,12) (5,2)
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7 0
3 years ago
The Aluminum Association reports that the average American uses 56.8 pounds of aluminum in a year. A random sample of 50 househo
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Answer:

\mu = 56.8

\sigma = 12.1

A)what is the probability that the sample mean will be More than 58 pounds

P(x>58)

Formula : Z=\frac{x-\mu}{\sigma}

Substitute the values :

Z=\frac{58-56.8}{12.1}

Z=0.09917

refer the z table

P(x<58)=0.5359

P(X>58)=1-P(x<58)=1-0.5359=0.4641

Hence the probability that the sample mean will be More than 58 pounds is 0.4641

B)what is the probability that the sample mean will be More than 57 pounds

P(x>57)

Formula : Z=\frac{x-\mu}{\sigma}

Substitute the values :

Z=\frac{57-56.8}{12.1}

Z=0.0165

refer the z table

P(x<57)=0.5040

P(X>57)=1-P(x<57)=1-0.5040=0.496

Hence the probability that the sample mean will be More than 57 pounds is 0.496

C)what is the probability that the sample mean will be Between 55 and 57 pound

Formula : Z=\frac{x-\mu}{\sigma}

Substitute the values :

Z=\frac{57-56.8}{12.1}

Z=0.0165

refer the z table

P(x<57)=0.5040

Formula : Z=\frac{x-\mu}{\sigma}

Substitute the values :

Z=\frac{55-56.8}{12.1}

Z=-0.1487

refer the z table

P(x<55)=0.4443

P(55<x<57)=P9x<57)-P(x<55) =0.5040-0.4443=0.0597

Hence the probability that the sample mean will be Between 55 and 57 pounds is 0.0597

D)what is the probability that the sample mean will be Less than 53 pounds

Formula : Z=\frac{x-\mu}{\sigma}

Substitute the values :

Z=\frac{53-56.8}{12.1}

Z=−0.314

refer the z table

P(x<53)=0.3783

The probability that the sample mean will be Less than 53 pounds is 0.3783

E)what is the probability that the sample mean will be Less than 48 pounds

Formula : Z=\frac{x-\mu}{\sigma}

Substitute the values :

Z=\frac{48-56.8}{12.1}

Z=−0.727

refer the z table

P(x<48)=0.2358

The probability that the sample mean will be Less than 48 pounds is 0.2358

5 0
3 years ago
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