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Amiraneli [1.4K]
4 years ago
12

Write the expression as an equivalent algebraic expression involving only x.

Mathematics
1 answer:
Kitty [74]4 years ago
7 0

The given expression is \cos \left(2 \cos ^{-1} x\right)

We need to determine the expression as an equivalent algebraic expression involving only x.

The expression \cos \left(2 \cos ^{-1} x\right) has to be expressed as an algebraic expression in x.

Thus, we have;

\cos \left(2 \cos ^{-1} x\right)

Using the identity cos \ (2x)=2cos^2x-1 in the above expression, we get;

\cos \left(2 \cos ^{-1} x\right)=2\ cos^2(cos^{-1}x)-1

Simplifying, we get;

\cos \left(2 \cos ^{-1} x\right)=2[cos(cos^{-1}x)]^2-1

\cos \left(2 \cos ^{-1} x\right)=2(x)^2-1

\cos \left(2 \cos ^{-1} x\right)=2x^2-1

Hence, the expression \cos \left(2 \cos ^{-1} x\right) can be written as 2x^2-1

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The distribution of heights of adult males has a mean of 69 inches and a standard deviation of 4 inches. A random sample of 36 a
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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".  

Solution to the problem

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

X \sim N(69,4)  

Where \mu=69 and \sigma=4

And we select a sample size of n =70

From the central limit theorem  (n>30)we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we want to find this probability:

P(\bar X >70)

And we can use the z score formula given by:

z= \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using this formula we got:

P(\bar X >70)= P(Z>\frac{70-69}{\frac{4}{\sqrt{36}}})= P(Z>1.5)

And for this case we can use the complement rule and the normal standard distribution of excel and we got:

P(Z>1.5)=1-P(Z,1.5) = 1-0.933=0.0668

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4 years ago
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