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DochEvi [55]
3 years ago
5

Find the area of the shaded figure, rounded to two decimals. (Assume x = 3 and y = 4.)

Mathematics
1 answer:
maksim [4K]3 years ago
3 0
Do you have the picture?
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$6

Step-by-step explanation:

19-25

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An experiment is completed where a coin is flipped and a six-sided die (singular for dice) is rolled. The outcomes from the expe
victus00 [196]

Answer:

1) 16\frac{2}{3}% or 20%

Step-by-step explanation:

Given that:

An experiment which is carried out by flipping a coin and rolling six sided die.

The outcomes can be:

{H1, H2, H3, H5, H6, T1, T1, T2, T3, T5}

As per question statement:

Number of outcomes having tails and an odd number greater than one is 2 (i.e. T3 and T5)

Total number of outcomes here is 10.

Therefore, to find the percentage, we use the following formula:

\dfrac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}}\times 100

\Rightarrow \dfrac{2}{10}\times 100 = 20\%

As per question statement, the answer is 20%.

If we consider all the outcomes, i.e.

{H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, T6}

Total number of outcomes = 12

The percentage will come out be :

\Rightarrow \dfrac{2}{12}\times 100 = 16\frac{2}{3}\%

7 0
2 years ago
Im so confused with this question?
alexandr1967 [171]

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1.

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Need a little help
nataly862011 [7]

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3 years ago
In a certain city, the daily consumption of electric power, in millions of kilowatt-hours, is a random
kupik [55]

Answer:

a) \alpha = 3, \beta = 2

b) 0.0620

Step-by-step explanation:

We are given the following in the question:

Population mean, \mu = 6

Variance, \sigma^2 = 12

a) Value of \alpha, \beta

We know that

\alpha \beta = \mu = 6\\\alpha \beta^2 = \sigma^2 = 12

Dividing the two equations, we get,

\dfrac{\alpha\beta^2}{\alpha\beta} = \dfrac{12}{6}\\\\\Rightarrow \beta = 2\\\alpha \beta = 6\\\Rightarrow \alpha = 3

b) probability that on any given day the daily  power consumption will exceed 12 million kilowatt hours.

We can write the probability density function as:

f(x,3,2) = \dfrac{1}{2^{3}(3-1)!}x^{3-1}e^{-\frac{x}{2}}, x > 0\\\\f(x,3,2) = \dfrac{1}{16}x^{2}e^{-\frac{x}{2}}, x > 0

We have to evaluate:

P(x >12)\\\\= \dfrac{1}{16}\displaystyle\int^{\infty}_{12}f(x)dx\\\\=\dfrac{1}{16}\bigg[-2x^2e^{-\frac{x}{2}}-2\displaystyle\int xe^{-\frac{x}{2}}dx}\bigg]^{\infty}_{12}\\\\=\dfrac{1}{8}\bigg[x^2e^{-\frac{x}{2}}+4xe^{-\frac{x}{2}}+8e^{-\frac{x}{2}}\bigg]^{\infty}_{12}\\\\=\dfrac{1}{8}\bigg[(\infty)^2e^{-\frac{\infty}{2}}+4(\infty)e^{-\frac{\infty}{2}}+8e^{-\frac{\infty}{2}} -( (12)^2e^{-\frac{12}{2}}+4(12)e^{-\frac{12}{2}}+8e^{-\frac{12}{2}})\bigg]\\\\=0.0620

0.0620 is the required probability that on any given day the daily  power consumption will exceed 12 million kilowatt hours.

3 0
3 years ago
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