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levacccp [35]
3 years ago
10

A rectangular prism is 8 feet long, 3 feet high, and 6 feet wide. A cubic foot of water is approximately 7.5 gallons. How many g

allons of water will the aquarium hold if it is 75% full?
Mathematics
2 answers:
Yuliya22 [10]3 years ago
8 0
810 gallons of water when it is 75% full.
jekas [21]3 years ago
3 0
8*6*3=144 144/7.5=19.2. Hope I helped! this works because we had to find 75%, and since one cubic foot is 7.5 gallons, 19.2 is correct. Mark me brainly, thank, and rate me if i helped
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The number of chocolate chips in an​ 18-ounce bag of chocolate chip cookies is approximately normally distributed with a mean of
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Answer:

(a) P(1000 < X < 1500) = 0.0256

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(c) P(X > 1200) = 0.6554

(d) Percentile rank of a bag that contains 1425 chocolate​ chips = 90.98%

Step-by-step explanation:

We are given that the number of chocolate chips in an​ 18-ounce bag of chocolate chip cookies is approximately normally distributed with a mean of 1252 chips and standard deviation 129 chips.

Firstly, Let X = number of chocolate chips in a bag

The z score probability distribution for is given by;

         Z = \frac{ X - \mu}{\sigma} ~ N(0,1)

where, \mu = population mean = 1252 chips

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(a) Probability that a randomly selected bag contains between 1000 and 1500 chocolate​ chips, inclusive is given by = P(1000 \leq X \leq 1500) = P(X \leq 1500) - P(X < 1000)

 P(X \leq 1500) = P( \frac{ X - \mu}{\sigma} \leq \frac{1500-1252}{129} ) = P(Z \leq 1.92) = 0.9726

 P(X < 1000) = P( \frac{ X - \mu}{\sigma} < \frac{1000-1252}{129} ) = P(Z < -1.95) = 1 - P(Z \leq 1.95)

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Therefore, P(1000 \leq X \leq 1500) = 0.9726 - 0.0256 = 0.947

(b) Probability that a randomly selected bag contains fewer than 1025 chocolate​ chips is given by = P(X < 1025)

   P(X < 1025) = P( \frac{ X - \mu}{\sigma} < \frac{1025-1252}{129} ) = P(Z < -1.76) = 1 - P(Z \leq 1.76)

                                                          = 1 - 0.9608 = 0.0392

(c) Proportion of bags contains more than 1200 chocolate​ chips is given by = P(X > 1200)

    P(X > 1025) = P( \frac{ X - \mu}{\sigma} > \frac{1200-1252}{129} ) = P(Z > -0.40) = P(Z < 0.40) = 0.6554

(d) <em>Percentile rank of a bag that contains 1425 chocolate​ chips is given by;</em>

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Now, we will check the area probability in z table which corresponds to this critical value of x;

The value which we get is 0.9098.

Therefore, 90.98% is the rank of bag that contains 1425 chocolate​ chips.                                                    

8 0
4 years ago
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