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Cloud [144]
2 years ago
10

Which ratio is not equivalent to the other three? A 2 3 B 12 15 C 18 27 D 6 9

Mathematics
1 answer:
finlep [7]2 years ago
4 0

Answer: B= 12 15

Step-by-step explanation:

The given ratios are

A) 2 3= 2: 3  already in its simplest form

B)  12 15 =12:15 Changing to its simplest form, we divide both by 3 giving us           4:5

C)  18 27 =18: 27  Changing to its simplest form, we divide both numbers by 9 giving us =2:3        

D)6 9=6:9  Changing to its simplest form, we divide both by 3 giving us  

       2:3

Therefore the ratio not equivalent to other three is 12:15

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If (-2, y) lies on the graph of y = 3Y, then y =
kumpel [21]
Answer:

y = 1/9

Step-by-step explanation:

(-2, y) = (x, y)

y = 3^x

y = 3^(-2)

y = 1/9

Therefore y = 1/9
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3 years ago
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the graph of a liner relationship has a slope of -5 and passes through the point (2, -12). write tge equation of the liner in th
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Answer:

y = -5x - 2

Step-by-step explanation:

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2 years ago
A given population proportion is .25. What is the probability of getting each of the following sample proportions
anyanavicka [17]

This question is incomplete, the complete question is;

A given population proportion is .25. What is the probability of getting each of the following sample proportions

a) n = 110 and = p^ ≤ 0.21, prob = ?

b) n = 33 and p^ > 0.24, prob = ?

Round all z values to 2 decimal places. Round all intermediate calculation and answers to 4 decimal places.)

Answer:

a) the probability of getting the sample proportion is 0.1660

b) the probability of getting the sample proportion is 0.5517

Step-by-step explanation:

Given the data in the questions

a)

population proportion = 0.25

q = 1 - p = 1 - 0.25 = 0.75

sample size n = 110

mean = μ = 0.25

S.D = √( p( 1 - p) / n ) = √(0.25( 1 - 0.25) / 110 ) √( 0.1875 / 110 ) = 0.0413

Now, P( p^ ≤ 0.21 )

= P[ (( p^ - μ ) /S.D) < (( 0.21 - μ ) / S.D)

= P[ Z < ( 0.21 - 0.25 ) / 0.0413)

= P[ Z < -0.04 / 0.0413]

= P[ Z < -0.97 ]

from z-score table

P( X ≤ 0.21 ) = 0.1660

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b)

population proportion = 0.25

q = 1 - p = 1 - 0.25 = 0.75

sample size n = 33

mean = μ = 0.25

S.D = √( p( 1 - p) / n ) = √(0.25( 1 - 0.25) / 33 ) = √( 0.1875 / 33 ) = 0.0754

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= P[ (( p^ - μ ) /S.D) > (( 0.24 - μ ) / S.D)

= P[ Z > ( 0.24 - 0.25 ) / 0.0754 )

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= P[ Z > -0.13 ]

= 1 - P[ Z < -0.13 ]

from z-score table

{P[ Z < -0.13 ] = 0.4483}

1 - 0.4483

P( p^ > 0.24 )  = 0.5517

Therefore, the probability of getting the sample proportion is 0.5517

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Solve for b? Please !!
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Answer:

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Step-by-step explanation:

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