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Degger [83]
3 years ago
14

Hey, it's algerbra. Can someone help out?

Mathematics
1 answer:
Firdavs [7]3 years ago
8 0
I think it is 7 to the 3rd power so 343.
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If you drive 130 miles and it takes you Two hours and six minutes and then you drive back on the same route but it takes you two
Vilka [71]
You can gain it by taking an hr and thirty min trip and on the way back takes hr and forty five min. That is how you gain your precious time back!!!✍️☃️⚽️
4 0
3 years ago
Find the greatest common factor of 8, 6, and 10.<br> z
devlian [24]
2 Factors of 8: 1, 2, 4, 8 Factors of 6: 1, 2, 3, 6 Factors of 10: 1, 2, 5, 10
3 0
3 years ago
Read 2 more answers
23. If 25% of a number is 75. find the number.<br>A. 700 B. 600 C. 500 D, 400 E. 300​
nadya68 [22]

Answer:

<em><u>2</u></em><em><u>3</u></em><em><u>.</u></em><em><u>E</u></em>

Step-by-step explanation:

<em><u>please click the heart and rate excellent and brainleist to </u></em><em><u>☻</u></em><em><u>❤</u></em><em><u>☺️</u></em><em><u>☺️</u></em><em><u>❤</u></em><em><u>☻</u></em>

4 0
3 years ago
Read 2 more answers
The graph below plots the values of y for different values of x: (look at graph picture)
Dima020 [189]

Answer:

A: x and y have a strong, positive correlation

Step-by-step explanation:

Correlation coefficient measures the relation between   two variable.

it signifies how the value of one variable will change when the change in other variable is made.

Its value ranges from 0 to 1

  1. 0 represent no relation
  2. 1 represent strong relation

thus, as value increases from 0 to 1 , correlation strength increases.

Correlation coefficient can be negative and positive

  1. negative relation signifies that as value of one variable increases then the value of other will decrease and vice-versa
  2. positive relation signifies that as value of one variable increases then the value of other will also increase and vice versa

Given, that correlation coefficient between x and y  is  0.9

since there is no negative sign it means there is positive correlation

value is 0.9

as 0.9 is nearer to  1, it is clear that relation is strong.

based on above discussion

option A

 x and y have a strong, positive correlation is correct answer

If we look at graph we can see that as x increases y also increases.

the rate of increase of value of y in response of x is also high.

Thus, graph also shows that there is strong positive correlation  

5 0
4 years ago
(3 points) Blades of grass Suppose that the heights of blades of grass are Normally distributed and independent, with each heigh
NemiM [27]

The final answer is:

a) P( Y < 42.5 )  = 0.8541

b) P( 39.5 < Y < 40.5 ) = 0.1670.

What is the normal distribution?

A continuous probability distribution for a real-valued random variable in statistics is known as a normal distribution or Gaussian distribution.

If x follows a normal distribution with mean μ and standard deviation σ then the distribution of

\sum_{i =1}^{n}x_{i}  follows an approximately normal distribution with a mean n\mu and standard deviation \sqrt{n }\sigma

let x be the height of blades of grass

x follows normal distribution with mean = μ = 4 and standard deviation = σ = 0.75.

Y = x1 + x2 +...........+x10

Y = \sum_{i =1}^{10}x_{i}

Distribution of Y is normal with,

Mean = \mu _{y}=10*4 = 40 and standard deviation = \sigma _{y}=\sqrt{10}*0.75 = 2.3717

a)

P( Y < 42.5 )

Using normal distribution formmula,

f(x)= {\frac{1}{\sigma\sqrt{2\pi}}}e^{- {\frac {1}{2}} (\frac {x-\mu}{\sigma})^2}

=NORMDIST( x, mean, SD , 1 )      

=NORMDIST(42.5, 40, 2.3717, 1 )

=0.8541

P( Y < 42.5 )  = 0.8541

b)

P( 39.5 < Y < 40.5 ) = P( Y < 40.5 ) - P( Y < 39.5 )

Using normal distribution formmula,

f(x)= {\frac{1}{\sigma\sqrt{2\pi}}}e^{- {\frac {1}{2}} (\frac {x-\mu}{\sigma})^2}

P( Y < 40.5 )  =NORMDIST(40.5, 40, 2.3717, 1 ) = 0.5835

P( Y < 39.5 ) = NORMDIST(39.5, 40, 2.3717, 1 ) = 0.4165

P( 39.5 < Y < 40.5 ) = 0.5835 - 0.4165  = 0.1670

P( 39.5 < Y < 40.5 ) = 0.1670

Hence, the final answer is:

a) P( Y < 42.5 )  = 0.8541

b) P( 39.5 < Y < 40.5 ) = 0.1670.

To learn more about the normal distribution visit,

brainly.com/question/4079902

#SPJ4

5 0
2 years ago
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