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mixas84 [53]
3 years ago
9

Find the zeros of the following function, and plot them on the graph.

Mathematics
2 answers:
ElenaW [278]3 years ago
8 0

Answer:

The zeros are -6, -4, 3 and 4

Step-by-step explanation:

In order to find the zeros of a function we have to:

  • Set the function equal to 0
  • Factor it
  • Set each one of the factors equal to 0
  • Solve for x for each one of those factors.

Finding the zeros.

We can start setting the function equal to 0

f(x) = 0

For this exercise we have

(x^2-16)(x^2+3x-18)=0

Then we can factor each parenthesis.

For the first one we have a difference of squares, so we can use a^2-b^2 =(a-b)(a+b), which will give us

(x-4)(x+4)(x^2+3x-18)=0

For the last parenthesis, we need to think of a couple of numbers that multiplied give us the last number which is -18 and the sum give us the middle coefficient which is +3, those numbers are +6 and -3, since +6*(-3) = -18 and their sum give us 3.

(x-4)(x+4)(x+6)(x-3)=0

Then we can set each one of those factors equal to 0.

x-4=0,        x+4=0,     x+6=0, x-3=0

So we  can solve for x for each, which will give us

x=4, x= -4, x = -6, x = 3

Thus the zeros are -6, -4, 3, 4.

And we can plot them as you can see on the attached image, just click on dots and select (-6,0), (-4,0), (3,0) and (4,0). The sketch will look like the following image.

Svetlanka [38]3 years ago
3 0
The zeros are (x+4)(x-4)(x+6)(x-3).
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correct Option is B i.e, 72x^2+288x^2-216x whose simplified form is: 360x^2-216x

Step-by-step explanation:

We need to solve the expression:

2[(6x)(6x)]+4[(12x - 9)(6x)]

Solving:

2[(6x)(6x)]+4[(12x - 9)(6x)]\\=2[36x^2]+4[(12x*6x)-(9*6x)]\\=72x^2+4[72x^2-54x]\\=72x^2+288x^2-216x\\=360x^2-216x

So, correct Option is B i.e, 72x^2+288x^2-216x whose simplified form is: 360x^2-216x

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A bank with a branch located in a commercial district of a city has the business objective of developing an improved process for
tatiyna

Answer:

(a) The test statistic value is -4.123.

(b) The critical values of <em>t</em> are ± 2.052.

Step-by-step explanation:

In this case we need to determine whether there is evidence of a difference in the mean waiting time between the two branches.

The hypothesis can be defined as follows:

<em>H₀</em>: There is no difference in the mean waiting time between the two branches, i.e. <em>μ</em>₁ - <em>μ</em>₂ = 0.

<em>Hₐ</em>: There is a difference in the mean waiting time between the two branches, i.e. <em>μ</em>₁ - <em>μ</em>₂ ≠ 0.

The data collected for 15 randomly selected customers, from bank 1 is:

S = {4.21, 5.55, 3.02, 5.13, 4.77, 2.34, 3.54, 3.20, 4.50, 6.10, 0.38, 5.12, 6.46, 6.19, 3.79}

Compute the sample mean and sample standard deviation for Bank 1 as follows:

\bar x_{1}=\frac{1}{n_{1}}\sum X_{1}=\frac{1}{15}[4.21+5.55+...+3.79]=4.29

s_{1}=\sqrt{\frac{1}{n_{1}-1}\sum (X_{1}-\bar x_{1})^{2}}\\=\sqrt{\frac{1}{15-1}[(4.21-4.29)^{2}+(5.55-4.29)^{2}+...+(3.79-4.29)^{2}]}\\=1.64

The data collected for 15 randomly selected customers, from bank 2 is:

S = {9.66 , 5.90 , 8.02 , 5.79 , 8.73 , 3.82 , 8.01 , 8.35 , 10.49 , 6.68 , 5.64 , 4.08 , 6.17 , 9.91 , 5.47}

Compute the sample mean and sample standard deviation for Bank 2 as follows:

\bar x_{2}=\frac{1}{n_{2}}\sum X_{2}=\frac{1}{15}[9.66+5.90+...+5.47]=7.11

s_{2}=\sqrt{\frac{1}{n_{2}-1}\sum (X_{2}-\bar x_{2})^{2}}\\=\sqrt{\frac{1}{15-1}[(9.66-7.11)^{2}+(5.90-7.11)^{2}+...+(5.47-7.11)^{2}]}\\=2.08

(a)

It is provided that the population variances are not equal. And since the value of population variances are not provided we will use a <em>t</em>-test for two means.

Compute the test statistic value as follows:

t=\frac{\bar x_{1}-\bar x_{2}}{\sqrt{\frac{s_{1}^{2}}{n_{1}}+\frac{s_{2}^{2}}{n_{2}}}}

  =\frac{4.29-7.11}{\sqrt{\frac{1.64^{2}}{15}+\frac{2.08^{2}}{15}}}

  =-4.123

Thus, the test statistic value is -4.123.

(b)

The degrees of freedom of the test is:

m=\frac{[\frac{s_{1}^{2}}{n_{1}}+\frac{s_{2}^{2}}{n_{2}}]^{2}}{\frac{(\frac{s_{1}^{2}}{n_{1}})^{2}}{n_{1}-1}+\frac{(\frac{s_{2}^{2}}{n_{2}})^{2}}{n_{2}-1}}

   =\frac{[\frac{1.64^{2}}{15}+\frac{2.08^{2}}{15}]^{2}}{\frac{(\frac{1.64^{2}}{15})^{2}}{15-1}+\frac{(\frac{2.08^{2}}{15})^{2}}{15-1}}

   =26.55\\\approx 27

Compute the critical value for <em>α</em> = 0.05 as follows:

t_{\alpha/2, m}=t_{0.025, 27}=\pm2.052

*Use a <em>t</em>-table for the values.

Thus, the critical values of <em>t</em> are ± 2.052.

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