3 years ago

Please help me on this question!!!

Mathematics

1 answer:

Nonamiya [84]3 years ago

4 0

Step-by-step explanation:

friend, see

7^-2 × 7 ^ 6

7^-12

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F(x) =5x+8, g(x) = 2^2-1

Lana71 [14]

Answer:

Step-by-step explanation:

f(g(x) ) = 5(g(x)) +8

=5(3)+8

=15+8

=23

g( f(x) ) = 3(f(x))

=3(5x+8)

=15x +24

7 0

3 years ago

$2.50 per square foot. how much is that per square yard?

horrorfan [7]

1 yard is 3ft, so just multiply 2.5 with 3 and that gives u 7.5.

6 0

3 years ago

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<img src="https://tex.z-dn.net/?f=%20%5Cfrac%7Bcot%20%5Calpha%20%7D%7B1%20%2B%20cot%20%5Calpha%20%7D%20%20%3D%20%20%5Cfrac%7B1%7

strojnjashka [21]

Im not sure what its asking.. whats the question?

8 0

3 years ago

In a basketball game, Kyrie scored 5 less than twice as many as Steph. Combined the two scored 55 points. How many points did Ky

Aleonysh [2.5K]

Let steph score be x
Then kyrie score is 2x-5
Sum of the two scores is 55
Therefore x+2x-5=55
3x-5=55
3x=60
x=20

Therefore steph score is 20
And kyrie score is 2(20)-5
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5 0

3 years ago

A racing car consumes a mean of 106 gallons of gas per race with a standard deviation of 6 gallons. If 33 racing cars are random

Montano1993 [528]

Answer:

The probability is $P(\= X > 103.7 ) = 0.9862$

Step-by-step explanation:

From the question we are told that

The population mean is $\mu = 106 \ gallons$

The population standard deviation is $\sigma = 6 \ gallons$

The sample size is $n = 33$

Generally the standard deviation of sample mean is mathematically represented as

$\sigma_{x} = \frac{\sigma }{\sqrt{n} }$

=> $\sigma_{x} = \frac{6}{\sqrt{33} }$

=> $\sigma_{x} = 1.044$

Generally the probability that the sample mean would be greater than 103.7 gallons is mathematically represented as

$P(\= X > 103.7 ) = P(\frac{X - \mu }{\sigma_{x}} > \frac{103.7 - 106}{1.044 } )$

Generally $\frac{X - \mu }{\sigma_{x}} = Z (The \ standardized \ value \ of \= X )$

$P(\= X > 103.7 ) = P(Z > -2.203 )$

From the z table the probability of (Z > -2.203 ) is

$P(Z > -2.203 ) = 0.9862$

$P(\= X > 103.7 ) = 0.9862$

7 0

4 years ago