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Mamont248 [21]
3 years ago
12

4n-16=6 I need to solve this

Mathematics
1 answer:
mel-nik [20]3 years ago
8 0
The answer is= n= 11/2 and in decimal it’s n=5.5
Explanation:
You first move the constant to the right
4n=16+6 you then calculate which will be 4n=22 and then you divide both sides
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Suppose x has a normal distribution with mean μ = 45 and standard deviation σ = 9. describe the distribution of x values for sam
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The standard deviation of a particular sample is equal to the standard deviation divided by the square root of the sample size.  That is,\sigma_x=\frac{\sigma}{\sqrt n}
The mean of a particular sample is equal to the mean of the set the sample was taken from.  That is,
\mu_x=\mu
\text{In your case, }\sigma_x=\frac{9}{\sqrt4}=\frac92\text{ and }\mu_x=45.
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Which set of ordered pairs is made up of points on the graph of the function below?
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What is the sum of the finite arithmetic series?<br> 29 + 32 + 35+ 38+41+ ... +59
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Read 2 more answers
23. The mean weight of trucks traveling on a particular section of 1-475 is not known. A state highway inspector needs an estima
Free_Kalibri [48]

Answer:

0.3594 = 35.94% probability that a truck will weigh less than 14.3 tons

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution.

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.

Mean is 15.8 tons, with a standard deviation of the sample of 4.2 tons.

This means that \mu = 15.8, \sigma = 4.2

What is probability that a truck will weigh less than 14.3 tons?

This is the pvalue of Z when X = 14.3. So

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

Z = \frac{14.3 - 15.8}{4.2}

Z = -0.36

Z = -0.36 has a pvalue of 0.3594

0.3594 = 35.94% probability that a truck will weigh less than 14.3 tons

6 0
3 years ago
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