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soldi70 [24.7K]
3 years ago
8

How many micrometers long is one edge of a centimeter cube

Mathematics
2 answers:
Alex3 years ago
5 0
10000 micrometers if it is one cenimeter per side
Maksim231197 [3]3 years ago
5 0

Answer:

10000 micrometers.

Step-by-step explanation:

We have to convert the 1cm length of the edge of the cube to micrometers Remember the following conversion units:

1\times 10^{-6} m= 1 \mu m and 1\times 10^{-2} m= 1 cm denoting m for meters, cm for centimeters and μm or micrometers. In particular, dividing on both sides of the first equation we get the identity 1=\frac{1\mu m}{1\times 10^{-6} m}

Combine the previous information to get:

1 cm=1\times 10^{-2} m= (1\times 10^{-2} m) \cdot (1)= (1\times 10^{-2} m)\frac{1\mu m}{1\times 10^{-6} m}=\frac{10^{-2}}{10^{-6}}\mu m=10^4 \mu m=10000 \mu m

Note how we "cancelled" the m symbolically as if it was a variable. This is one of the methods to convert units, and the fractions involved are known as conversion factors.

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Given Information:

John's mean monthly commission = μ = $10,000

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Answer:

P(9,000 < X < 11,000) = 0.383\\\\P(9,000 < X < 11,000) = 38.3 \%

The probability that John's commission from the jewelry store is  between $9,000 and $11,000 is 38.3%

Step-by-step explanation:

What is Normal Distribution?

We are given a Normal Distribution, which is a continuous probability distribution and is symmetrical around the mean. The shape of this distribution is like a bell curve and most of the data is clustered around the mean. The area under this bell shaped curve represents the probability.  

We want to find out the probability that John's commission from the jewelry store is  between $9,000 and $11,000?

P(9,000 < X < 11,000) = P( \frac{x - \mu}{\sigma} < Z < \frac{x - \mu}{\sigma} )\\\\P(9,000 < X < 11,000) = P( \frac{9,000 - 10,000}{2,000} < Z < \frac{11,000 - 10,000}{2,000} )\\\\P(9,000 < X < 11,000) = P( \frac{-1,000}{2,000} < Z < \frac{1,000}{2,000} )\\\\P(9,000 < X < 11,000) = P( -0.5 < Z < 0.5 )\\\\P(9,000 < X < 11,000) = P( Z < 0.5 ) - P( Z < -0.5 ) \\\\

The z-score corresponding to 0.50 is 0.6915

The z-score corresponding to -0.50 is 0.3085

P(9,000 < X < 11,000) = 0.6915 - 0.3085 \\\\P(9,000 < X < 11,000) = 0.383\\\\P(9,000 < X < 11,000) = 38.3 \%

Therefore, the probability that John's commission from the jewelry store is  between $9,000 and $11,000 is 38.3%

How to use z-table?

Step 1:

In the z-table, find the two-digit number on the left side corresponding to your z-score. (e.g 1.4, 2.2, 0.5 etc.)

Step 2:

Then look up at the top of z-table to find the remaining decimal point in the range of 0.00 to 0.09. (e.g. if you are looking for 0.50 then go for 0.00 column)

Step 3:

Finally, find the corresponding probability from the z-table at the intersection of step 1 and step 2.

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