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bearhunter [10]
3 years ago
15

Need help asap im not good at math

Mathematics
1 answer:
wolverine [178]3 years ago
3 0

g(x):

flip f(x) over x-axist and next translate 2 units down.

Look at the picture.

<h3>Therefore your answer is: B. g(x) = -x² - 2</h3>

Translations

y = f (x) + m up m units

y = f (x) - m down m units

y = f (x + m) left m units

y = f (x - m) right m units

Stretches/Shrinks

y = n · f (x) stretch vertically by a factor of n

y = 1/n · f (x) shrink vertically by a factor of m (stretch by 1/n)

y = f (1/n x) stretch horizonally by a factor of n

y = f (nx) shrink horizontally by a factor of n (stretch by 1/n)

Reflections

y = - f (x) reflect over x-axis (over line y = 0)

y = f (- x) reflect over y-axis (over line x = 0)

x = f (y) reflect over line y = x

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gizmo_the_mogwai [7]

Answer:

198.5

Step-by-step explanation:

() = 200 - 1.5

() = 198.5

im not sure if this is what you are asking, but i hope it helps

8 0
3 years ago
It is believed that the SAT scores for students entering two state universities may have different standard deviations. Specific
Eva8 [605]

Answer:

The critical value of <em>F</em> is 3.55.

Step-by-step explanation:

The claim to be test is, the SAT scores for students entering two state universities may have different standard deviations. It is believed that the standard deviation at University A is greater than the standard deviation at University B.

The hypothesis for the test can be defined as:

<em>H₀</em>: The standard deviations are same, i.e. <em>σ</em>₁ = <em>σ</em>₂

<em>Hₐ</em>: The standard deviations are different, i.e. <em>σ</em>₁ > <em>σ</em>₂<em>.</em>

A <em>F</em>-test will be used to perform the hypothesis test.

The <em>F</em>-statistic is given by:

F=\frac{S_{1}^{2}}{S_{2}^{2}}\sim F_{\alpha/2, (n_{1}-1),(n_{2}-1)

The information provided is:

                                            University A University B

Sample mean                                   1104               1254

Sample Standard Deviation             134                108

Sample size                                      14                           8

Compute the critical value of F using MS-Excel as follows:

The degrees of freedom are:

df₁ = n₁ - 1 = 14 - 1 = 13

df₂ = n₂ - 1 = 8 - 1 = 7

<u>Step 1</u>:

Open function → F.INV.RT

A dialog box will open.

<u>Step 2</u>:

Enter the details as shown in the image below. Press OK

Thus, the critical value of <em>F</em> is 3.55.

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