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kotykmax [81]
3 years ago
10

I don't know how to answer this please help this is urgent.

Mathematics
1 answer:
lukranit [14]3 years ago
7 0

Answer:

V = 240 in ^3

SA = 2(lw+lh+wh)

SA = 236 in^2

Step-by-step explanation:

Volume = l*w*h where l=length, w= width and h =height

We know l=6, w=5 and h =8

V = 6*5*8

V = 240 in ^3

The formula for surface area of a rectangular prism is

SA = 2(lw+lh+wh)  where l=length, w= width and h =height

We know l=6, w=5 and h =8

Substituting into the equation

SA = 2(6*5+6*8+5*8)

     = 2 (30+48+40)

     =2(118)

     = 236 in ^2

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Answer:

D. 0.9938.

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.

Mean of 115 and a standard deviation of 8.

This means that \mu = 115, \sigma = 8

100 people are randomly selected

This means that n = 100, s = \frac{8}{\sqrt{100}} = 0.8

Find the probability that their mean blood pressure will be less than 117.

This is the p-value of Z when X = 117, so:

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

By the Central Limit Theorem

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

Z = \frac{117 - 115}{0.8}

Z = 2.5

Z = 2.5 has a p-value of 0.9938, and thus, the correct answer is given by option D.

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3 years ago
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Giving the following information:

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n= ln(FV/PV) / ln(1+i)  

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Answer:

Step-by-step explanation:

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A

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