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3 years ago

H(a) = 2a +4 g(a) = 4a + 2 Find (h+g)(a)

Mathematics

2 answers:

Alecsey [184]3 years ago

6 0

The answer needs to be right 8-4 a

hjlf3 years ago

3 0

Answer:

8−4 a

Step-by-step explanation:

x=g(h(a−4))

h(a−4)=−2(a−4)−5 = −2 a+8−5=3−2 a

Apply g.

g(h(a−4))=g(3−2a)=2(3-2a)+2=6−4a+2

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I need help with this question <br>-4 (2p+ 3) = -(p+1) - 2

ankoles [38]

Answer:

-4 (2p+ 3) = -(p+1) - 2

-8p -12 = -p-1-2

-7p=9

p=-9/7

Step-by-step explanation:

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3 years ago

When the polynomial is written in standard form, what are the values of the leading coefficient and the constant? 5x + 2 - 3x^2

earnstyle [38]

Leading coefficient = -3
Constant = 2

When you order them in standard form, you need to put them in ascending order of the exponents. Therefore the -3x^2 would come first, which makes the number attached (-3) the lead coefficient.

Also, since the number (2) without an x attached would be last (due to the power of x technically being 0), than that is the constant.

7 0

3 years ago

The graph of the function f(x) = (x + 6)(x + 2) is shown.

ioda

Answer:

The axis of symmetry is x = -4

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3 0

3 years ago

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What best represents an elevation of 0 feet

tamaranim1 [39]

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3 years ago

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Consider a data set containing the following values: 70 65 71 78 89 68 50 75 The mean of the preceding values is 70.75. The devi

Leokris [45]

Answer:

If this is the sample data, the sample variance is 125.07 and the sample standard deviation is 11.18

If this is a population data, the population variance is 109.44 and the population standard deviation is 10.46

Step-by-step explanation:

We are given the following data-set:

70, 65, 71, 78, 89, 68, 50, 75

Deviations from the mean

–0.75, –5.75 , 0.25, 7.25, 18.25, –2.75, –20.75, 4.2

Sample size, n = 8

Sample:

$\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}$

where $x_i$ are data points, $\bar{x}$ is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

$s = \sqrt{\dfrac{875.5}{7}} = 11.18$

$\text{ Sample variance} = s^2 = 125.07$

Population:

$\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n}$

where $x_i$ are data points, $\bar{x}$ is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

$\sigma = \sqrt{\dfrac{875.5}{8}} = 10.46$

$\text{ Population variance} = \sigma^2 = 109.44$

7 0

3 years ago