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aev [14]
2 years ago
8

Simplify: x0 y-3 / x2 y-1

Mathematics
1 answer:
svetlana [45]2 years ago
8 0

\frac{x {}^{0}y {}^{ - 3}  }{x {}^{2}y {}^{ - 1}  }  \\  =  \frac{1y {}^{ - 3} }{ {x}^{2}y {}^{ - 1}  }  \\  =  \frac{1 \times 1}{ {x}^{2} y {}^{2} }  \\    \\  =  \frac{1}{ {x}^{2}y {}^{2}  }

Step by Step Explanation:

  • Evaluate the power: Any non-zero expression raised to the power of 0 equals 1
  • Simplify: Simplify the expression
  • Calculate the product: Any expression multiplied by 1 remains the same.

<h2>☆彡Hanna</h2>

#CarryOnLearning

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a) P(X>3.5)=P(\frac{X-\mu}{\sigma}>\frac{3.5-\mu}{\sigma})=P(Z>\frac{3.5-5}{1.2})=P(z>-1.25)

And we can find this probability using the complement rule:

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And we can find this probability uing the normal standard table:

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P(-1.25

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(5,1.2)  

Where \mu=5 and \sigma=1.2

We are interested on this probability

P(X>3.5)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>3.5)=P(\frac{X-\mu}{\sigma}>\frac{3.5-\mu}{\sigma})=P(Z>\frac{3.5-5}{1.2})=P(z>-1.25)

And we can find this probability using the complement rule:

P(z>-1.25)=1-P(z

Part b

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability uing the normal standard table:

P(z

Part c

P(3.5

And we can find this probability with this difference:

P(-1.25

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-1.25

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