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SVETLANKA909090 [29]
2 years ago
10

PLS HELP Given the following table with selected values of the linear functions g(x) and h(x), determine the x-intercept of g(h(

x)).
x –6 –4 –1 1 5
g(x) 16 10 1 –5 –17
h(x) –11 –7 –1 3 11
A. -5
B. -5/6
C. 5/6
D. 5
Mathematics
2 answers:
kiruha [24]2 years ago
6 0

Using linear and composite functions, it is found that the x-intercept of g(h(x)) is x = -\frac{5}{6}, given by option B.

-------------------------------

The equation of a line is:

y = mx + b

In which:

  • m is the slope.
  • b is the y-intercept.

Function g:

  • Two of the points are (-6,16) and (-4,10).
  • The slope is given by <u>change in y divided by change in x</u>, thus:

m = \frac{10 - 16}{-4 - (-6)} = -3

Thus:

g(x) = -3x + b

Point (-4,10) means that when x = -4, g(x) = 10, and we use this to find b, so:

10 = -3(-4) + b

12 + b = 10

b = -2

Then

g(x) = -3x - 2

Function h:

  • Two of the points are (-6,-11) and (-4,-7).
  • The slope is:

m = \frac{-7 - (-11)}{-4 - (-6)} = \frac{4}{2} = 2

Thus:

h(x) = 2x + b

Point (-4,-7) means that when x = -4, h(x) = -7, and we use this to find b, so:

-7 = 2(-4) + b

-8 + b = -7

b = 1

Then

h(x) = 2x + 1

The composite function is:

g(h(x)) = g(2x + 1) = -3(2x + 1) - 2 = -6x - 3 - 2 = -6x - 5

The x-intercept it the zero of the function, thus:

-6x - 5 = 0

6x = -5

x = -\frac{5}{6}

Which is option B.

A similar problem is given at brainly.com/question/21010520

likoan [24]2 years ago
6 0

Answer:

-5/6

Step-by-step explanation:

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Maths!
Ber [7]

Answer:

(1) Variance = 4.5 and Standard deviation = 2.121.

(2) Variance = 4.5 and Standard deviation = 2.121.

(3) The effect on the measure of dispersion if each value is changed uniformly ​is that it remains unchanged.

Step-by-step explanation:

We are given with the following set of data below;

              X                     X-\bar X                   (X-\bar X)^{2}

              5                   5 - 8 = -3                     9

              5                   5 - 8 = -3                     9

              8                   8 - 8 = 0                      0

             10                  10 - 8 = 2                     4

             10                  10 - 8 = 2                     4

             10                  10 - 8 = 2                     4

              9                   9 - 8 = 1                       1

              9                   9 - 8 = 1                       1

         <u>     6     </u>              6 - 8 = -2             <u>        4       </u>          

Total <u>    72     </u>                                         <u>       36       </u>

<u>Firstly, the mean of the above data is given by;</u>

              Mean, \bar X  =  \frac{\sum X}{n}

                              =  \frac{72}{9}  = 8

(1)Now, the variance of the given data is;

            Variance  =  \frac{\sum (X-\bar X)^{2} }{n-1}

                                  =  \frac{36}{9-1}  = 4.5

So, the standard deviation, (S.D.)  =  \sqrt{\text{Variance}}

                                                        =  \sqrt{4.5} = 2.12

(2) Now, each value is added by 2; so the new data set is given by;

              X                     X-\bar X                   (X-\bar X)^{2}

              7                   7 - 10 = -3                     9

              7                   7 - 10 = -3                     9

             10                  10 - 10 = 0                     0

             12                  12 - 10 = 2                     4

             12                  12 - 10 = 2                     4

             12                  12 - 10 = 2                     4

              11                  11 - 10 = 1                       1

              11                  11 - 10 = 1                       1

         <u>     8     </u>              8 - 10 = -2             <u>        4       </u>          

Total <u>    90     </u>                                         <u>       36       </u>

<u>Firstly, the mean of the above data is given by;</u>

              Mean, \bar X  =  \frac{\sum X}{n}

                              =  \frac{90}{9}  = 10

(1)Now, the variance of the given data is;

            Variance  =  \frac{\sum (X-\bar X)^{2} }{n-1}

                                  =  \frac{36}{9-1}  = 4.5

So, the new standard deviation, (S.D.)  =  \sqrt{\text{Variance}}

                                                                =  \sqrt{4.5} = 2.12

(3) The effect on the measure of dispersion if each value is changed uniformly ​is that it remains unchanged as we see in the case of variance or standard deviation.

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Answer:

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Step-by-step explanation:

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Answer:

a)g: 3x + 4y = 10   b) a:x+y = 5           c) c: 3x + 4y = 10

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Step-by-step explanation:

a) Has no solution

g: 3x + 4y = 10

h: 6x + 8y = 5

Above Equations  gives  you  parallel lines refer attachment

b) has exactly one solution

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b:2x + 3y = 8

Above Equations  gives  you  intersecting lines refer attachment

c) has infinitely many solutions

c: 3x + 4y = 10

d: 6x + 8y = 5

Above Equations  gives  you  collinear lines refer attachment

i) if we add   x + 2y = 1 to equation x + y = 5 to make an inconsistent system.

ii) if we add   x + 2y = 3 to equation x + y = 5 to create infinitely system.

iii) if we add  x + 4y = 1 to equation x + y = 5 to create infinitely system.

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