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poizon [28]
3 years ago
14

Which measure correctly completes the statement 627.532 m equal how many millimeters

Mathematics
1 answer:
lidiya [134]3 years ago
4 0
We know that

1 meter is equals to---------> 1000 mm
so
627.532 m-----------> is <span>627.532*1000------> 627532 mm

the answer is
</span>627532 mm
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The answer is f(x)=3 or y=3
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I can Multiply a 4x4 matrix by a 4x3 matrix. The resulting matrix will be a?
hodyreva [135]

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21

Step-by-step explanation:

3 0
3 years ago
2.According to www.city-data, the mean price for a detached house in Franklin County, OH in 2009 was $192,723. Suppose we know t
igor_vitrenko [27]

Answer:

0.7123 = 71.23% probability that a random sample of 75 detached houses in Franklin County had a mean price greater than $190,000 in 2009.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

The mean price for a detached house in Franklin County, OH in 2009 was $192,723. Suppose we know that the standard deviation was $42,000.

This means that \mu = 192723, \sigma = 42000

Sample of 75:

This means that n = 75, s = \frac{42000}{\sqrt{75}}

What is the probability that a random sample of 75 detached houses in Franklin County had a mean price greater than $190,000 in 2009?

1 subtracted by the p-value of Z when X = 190000. So

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

By the Central Limit Theorem

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

Z = \frac{190000 - 192723}{\frac{42000}{\sqrt{75}}}

Z = -0.56

Z = -0.56 has a p-value of 0.2877

1 - 0.2877 = 0.7123

0.7123 = 71.23% probability that a random sample of 75 detached houses in Franklin County had a mean price greater than $190,000 in 2009.

5 0
3 years ago
How many metres are there in ½ of ⅕ km​
Lorico [155]

Step-by-step explanation:

1/5=1/5×1000=200

1/2 of 200

1/2×200=100

5 0
3 years ago
Solve B=1/4m(s+z) for s
ElenaW [278]

Answer:

s = \frac{-mz+4B}{m}

Step-by-step explanation:

Step 1: Distribute.

  • B = \frac{1}{4}m * s + \frac{1}{4}m * z
  • B = \frac{1}{4}ms + \frac{1}{4}mz
  • \frac{1}{4}ms + \frac{1}{4}mz = B

Step 2: Subtract 1/4(mz) from both sides.

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Step 3: Divide both sides by m/4.

  • \frac{1}{4}ms/\frac{m}{4}=(\frac{-1}{4}mz + B)/\frac{m}{4}
  • s = \frac{-mz+4B}{m}
6 0
3 years ago
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