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cupoosta [38]
2 years ago
6

Please answer this question...No spam​

Mathematics
1 answer:
mariarad [96]2 years ago
8 0

Answer:

  • (d) (x² + y² + z²)³ = 27x²y²z²

Step-by-step explanation:

<u>Use the identity:</u>

  • a³ + b³ + c³ = 3abc if a + b + c = 0

<u>Substitute as follows:</u>

  • a = x^{2/3}, b = y^{2/3}, c = z^{2/3}

<u>The sum of the cubes is:</u>

  • x² + y² + z² = 3(xyz)^{2/3}

<u>Cube both sides:</u>

  • (x² + y² + z²)³ = 27x²y²z²

Correct choice is (d)

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Step-by-step explanation:

Simple math.

3000/10=300 which means 300 donut per hour.

300 x 2 = 600.

300 / 60 = 5.

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The volume of a rectangular prism is 16.328 cm³. The height is 3.14 cm.
Ghella [55]

Answer:

The area of the base is = 5.2 cm²

Step-by-step explanation:

<em>First, we need to know the formula to calculate volume:</em>

volume=height XBase area

<em>if we change to our equations to the values we know:</em>

16.328 = 3.14XB

<em>Since 3.14 is multiplying B,we can pass it to divide the volume to the left side:</em>

\frac{16.328}{3.14} =B

<em>We calculate the operation=</em>

\frac{16.328}{3.14} =5.2

<em>And the answer is 5.2 cm²</em>

<em>Let me know if you have any question :D</em>

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3 years ago
The number of people that belong to a certain social website is 412 and growing at a rate of 5% every month. How many members wi
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<span>Initial number of the people that belong to a certain social website is 412. It is growing at a rate of 5% every month. It means that every month the number of people is growing 1.05 times. We can calculate how many of them will there be in 9 months: 412 * 1.05^9 = 412 * 1.55 = 638.6. When we round to the nearest whole number: there will be 369 members.</span>
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The mean of a population is 74 and the standard deviation is 15. The shape of the population is unknown. Determine the probabili
Lena [83]

Answer:

a) 0.0548 = 5.48% probability of a random sample of size 36 yielding a sample mean of 78 or more.

b) 0.9858 = 98.58% probability of a random sample of size 150 yielding a sample mean of between 71 and 77.

c) 0.5793 = 57.93% probability of a random sample of size 219 yielding a sample mean of less than 74.2

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 estabilishes 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 of a population is 74 and the standard deviation is 15.

This means that \mu = 74, \sigma = 15

Question a:

Sample of 36 means that n = 36, s = \frac{15}{\sqrt{36}} = 2.5

This probability is 1 subtracted by the pvalue of Z when X = 78. So

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

By the Central Limit Theorem

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

Z = \frac{78 - 74}{2.5}

Z = 1.6

Z = 1.6 has a pvalue of 0.9452

1 - 0.9452 = 0.0548

0.0548 = 5.48% probability of a random sample of size 36 yielding a sample mean of 78 or more.

Question b:

Sample of 150 means that n = 150, s = \frac{15}{\sqrt{150}} = 1.2247

This probability is the pvalue of Z when X = 77 subtracted by the pvalue of Z when X = 71. So

X = 77

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

Z = \frac{77 - 74}{1.2274}

Z = 2.45

Z = 2.45 has a pvalue of 0.9929

X = 71

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

Z = \frac{71 - 74}{1.2274}

Z = -2.45

Z = -2.45 has a pvalue of 0.0071

0.9929 - 0.0071 = 0.9858

0.9858 = 98.58% probability of a random sample of size 150 yielding a sample mean of between 71 and 77.

c. A random sample of size 219 yielding a sample mean of less than 74.2

Sample size of 219 means that n = 219, s = \frac{15}{\sqrt{219}} = 1.0136

This probability is the pvalue of Z when X = 74.2. So

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

Z = \frac{74.2 - 74}{1.0136}

Z = 0.2

Z = 0.2 has a pvalue of 0.5793

0.5793 = 57.93% probability of a random sample of size 219 yielding a sample mean of less than 74.2

5 0
3 years ago
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