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MrRa [10]
3 years ago
9

Please please helpplpplpol

Mathematics
1 answer:
tresset_1 [31]3 years ago
7 0

Answer: -4/5

Step-by-step explanation:

Ok so cos(x) = -4/5 and we know that:

sin^2(x) + cos^2(x) = 1.

If we plug that in and solve for sin(x) we get:

sin^2(x) = \frac{9}{25} \\sin(x) = \frac{3}{5}

Now we have to consider: <em>is sin(x) positive or negative?</em>

We have that \pi  < x < \frac{3\pi }{2}.

From the unit circle, we know that sin(x) is negative in this range. Therefore sin(x) actually equals -3/5.

But the question asks: <em>what is sin(x + \frac{\pi }{2})?</em>

Here's where another important equation comes in:

sin(\alpha  + \beta ) = sin(\alpha)cos(\beta) + cos(\alpha)sin(\beta)

In this case, we have alpha = x and beta = pi/2.

So, that looks like:

sin(x + pi/2 )= sin(x)cos(pi/2) + cos(x)sin(pi/2)

We already have what sin(x) and cos(x) are. We also know that sin( pi/2) = 1 and cos(pi/2) = 0.

sin(x  + pi/2 ) = (-3/5)(0) + (-4/5)(1).

Therefore we simply have

sin(x + pi/2) = -4/5

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zaharov [31]

Answer:

10.93% probability of observing 51 or fewer vapers in a random sample of 300

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

Binomial probability distribution

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Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 300, p = 0.2

So

\mu = E(X) = np = 300*0.2 = 60

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{300*0.2*0.8} = 6.9282

What is the approximate probability of observing 51 or fewer vapers in a random sample of 300?

Using continuity corrections, this is P(X \leq 51 + 0.5) = P(X \leq 51.5), which is the pvalue of Z when X = 51.5 So

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

Z = \frac{51.5 - 60}{6.9282}

Z = -1.23

Z = -1.23 has a pvalue of 0.1093.

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4 0
3 years ago
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Answer:

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Because the vertical line is the line that is parallel to the y-axis,

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