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Shkiper50 [21]
3 years ago
6

Find the missing side of triangle 8,6

Mathematics
2 answers:
vichka [17]3 years ago
6 0

Answer:

10 (if it is a right triangle)

Step-by-step explanation:

it is a variation of special right triangle 3,4,5

for other right triangle use the equation:

a^{2} +b^{2} =c^{2}

c is the length of the hyponuse and a&b is the length for the 2 other sides.

it only work for right triangles.

Juli2301 [7.4K]3 years ago
3 0

Answer:

10

Step-by-step explanation:

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Equation<br> Number of Solutions<br> 6(2.1 + 1) - 2 = 12.1 + 4<br> How many solutions does it have?
jek_recluse [69]
Infinite solutions!!!!
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Solve for W. MUST SHOW WORK!!<br> -3W +27 = 6
Travka [436]

Answer:

W=7

Step-by-step explanation:

-3W+27=6

Subtract 27 from both sides to isolate the variable.

-3W=-21

Divide by -3 to solve for W

w=7

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Six less than a number is twenty
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Step-by-step explanation:

6 less than 26 is 20

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2 years ago
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If x=-7 is a root of the equation x^2+kx+49=0, then k=​
aleksley [76]

Answer:

k=14

Step-by-step explanation:

Given:

x^{2}+kx+49 = 0

x = -7

Substitution can be used to find the value of k:

(-7)^{2}+(-7)k+49 = 0

49-7k+49 = 0

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Hope this helps :)

8 0
3 years ago
Solve the problem. Use the Central Limit Theorem.The annual precipitation amounts in a certain mountain range are normally distr
bazaltina [42]

Answer:

0.8944 = 89.44% probability that the mean annual precipitation during 25 randomly picked years will be less than 112 inches.

Step-by-step explanation:

To solve this question, we use 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 establishes 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.

Mean of 109.0 inches, and a standard deviation of 12 inches.

This means that \mu = 109, \sigma = 12

Sample of 25.

This means that n = 25, s = \frac{12}{\sqrt{25}} = 2.4

What is the probability that the mean annual precipitation during 25 randomly picked years will be less than 112 inches?

This is the p-value of Z when X = 112. So

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

By the Central Limit Theorem

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

Z = \frac{112 - 109}{2.4}

Z = 1.25

Z = 1.25 has a p-value of 0.8944.

0.8944 = 89.44% probability that the mean annual precipitation during 25 randomly picked years will be less than 112 inches.

7 0
3 years ago
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