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madam [21]
3 years ago
14

Find the value of x, round to nearest degree. (Sines and cosines)

Mathematics
1 answer:
Lynna [10]3 years ago
5 0
We'll just give the sides a variable, the <span>hypotenuse is A, the height is B and the bottom length is C
A = 21
C = 15 
This means the B = is </span>14.696938456699069 which is rounded to 15. But, this doesn't matter.
As long as we know the hypotenuse and one side we can find out that x is equal to about 45.584691402807024, round this to 46.
46 degrees is the answer.
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P(X&lt; ) 1-P(X&gt; ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

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 = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
3 years ago
What is the total amount, including interest, that the shoe store must pay on the loan? (2 points)
lapo4ka [179]

Answer:

2550

Step-by-step explanation:

Hope This Helps

3 0
3 years ago
Read 2 more answers
Determine the product.
Andrei [34K]

The final expression in standard form will be 1.601 * 10^9

<h3>Indices and expoenets</h3>

Given the expression as shown:

800.5 * (2*10^6)

This can be further simplified as:

=  8.005 * 10 ^2 * 2 * 10^6\\= 16.01 * 10^{2+6}\\= 16.01 * 10^8

The final expression in standard form will be 1.601 * 10^9

Learn more on indices here: brainly.com/question/10339517

3 0
3 years ago
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What is angle MNT? Help
disa [49]

Answer: acute

Step-by-step explanation: it is less than 90 degrees so it is less the right angle

8 0
3 years ago
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In the data set below, what is the interquartile range?<br> 7<br> 1<br> 5<br> 5<br> 9<br> Submit
Marizza181 [45]

Answer:

5

Step-by-step explanation:

The interquartile range is the difference between the upper quartile and the lower quartile.

First find the median.

The median is the middle value of the data set arranged in ascending order

1  5  5  7  9 ← data in ascending order

       ↑ median

The lower quartile is the middle value of the data to the left of the median. If there is not an exact middle then it the average of the values on either side of the middle.

1  5

 ↑ lower quartile = \frac{1+5}{2} = 3

The upper quartile is the middle value of the data to the right of the median.

7  9

 ↑ upper quartile = \frac{7+9}{2} = 8

Thus

interquartile range = 8 - 3 = 5

3 0
3 years ago
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