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Bumek [7]
3 years ago
5

Identify the pair of angles as complementary, supplementary, or neither HELP PLEASE!!

Mathematics
1 answer:
Inga [223]3 years ago
7 0

Answer:

Complementary

Step-by-step explanation:

I'm guessing I'm not sure if this is 100% correct

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Your answer is $7.50x=90
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NNADVOKAT [17]

Answer:

81 units³

Step-by-step explanation:

V = Length x Widht x Height

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= 81 units³

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Find f(-2) for the function f(x)= 3x2-2x+7
4vir4ik [10]

Answer:

f( - 2) = 23

Step-by-step explanation:

f(x) = 3 {x}^{2}  - 2x + 7 \\ plug \: x =  - 2 \\ f( - 2) = 3 {( - 2)}^{2}  - 2( - 2)+ 7 \\  = 3 \times 4 + 4 + 7 \\  = 12 + 11 \\  \huge \red{ \boxed{ f( - 2) = 23}}

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3 years ago
What is the equation of the epicycloid formed by a circle with radius 6 rolling counterclockwise around a circle with radius 12
Ilya [14]

Answer:

Step-by-step explanation:

Radius=24$;*3)5435)

3 0
3 years ago
Andrew plans to retire in 32 years. He plans to invest part of his retirement funds in stocks, so he seeks out information on pa
Debora [2.8K]

Answer:

a) 0.0885 = 8.85% probability that the mean annual return on common stocks over the next 40 years will exceed 13%.

b) 0.4129 = 41.29% probability that the mean return will be less than 8%

Step-by-step explanation:

To solve this question, we need to understand 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 estabilishes 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 8.7% and standard deviation 20.2%.

This means that \mu = 8.7, \sigma = 20.2

40 years:

This means that n = 40, s = \frac{20.2}{\sqrt{40}}

(a) What is the probability (assuming that the past pattern of variation continues) that the mean annual return on common stocks over the next 40 years will exceed 13%?

This is 1 subtracted by the pvalue of Z when X = 13. So

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

By the Central Limit Theorem

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

Z = \frac{13 - 8.7}{\frac{20.2}{\sqrt{40}}}

Z = 1.35

Z = 1.35 has a pvalue of 0.9115

1 - 0.9115 = 0.0885

0.0885 = 8.85% probability that the mean annual return on common stocks over the next 40 years will exceed 13%.

(b) What is the probability that the mean return will be less than 8%?

This is the pvalue of Z when X = 8. So

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

Z = \frac{8 - 8.7}{\frac{20.2}{\sqrt{40}}}

Z = -0.22

Z = -0.22 has a pvalue of 0.4129

0.4129 = 41.29% probability that the mean return will be less than 8%

8 0
2 years ago
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