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3 years ago

G(x) = f(x - 4) + 5 Transformation(s):

1 answer:

6 0

To find the transformation, compare the function to the parent function and check to see if there is a horizontal or vertical shift, reflection about the x-axis or y-axis, and if there is a vertical stretch.
Vertical compression

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Bobby has 20 cubic feet of toys! His parents

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2 feet is the minimum height it can be

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2 years ago

Scientific notation is written in the form a*10^n. What must be true about the a value?

Rama09 [41]

Answer:

It has to be a single digit between 1 and 10

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2 years ago

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g Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distrib

algol13

Answer:

The probability that the sample mean would be at least $39000 is of 0.8665 = 86.65%.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean $39725 and standard deviation $7320.

This means that $\mu = 39725, \sigma = 7320$

Sample of 125

This means that $n = 125, s = \frac{7320}{\sqrt{125}}$

The probability that the sample mean would be at least $39000 is about?

This is 1 subtracted by the pvalue of Z when X = 39000. So

$Z = \frac{X - \mu}{\sigma}$

By the Central Limit Theorem

$Z = \frac{X - \mu}{s}$

$Z = \frac{39000 - 39725}{\frac{7320}{\sqrt{125}}}$

$Z = -1.11$

$Z = -1.11$ has a pvalue of 0.1335

1 - 0.1335 = 0.8665

The probability that the sample mean would be at least $39000 is of 0.8665 = 86.65%.

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2 years ago

HELP FAST PLEASEEEEE

White raven [17]

Answer:

The third one

Step-by-step explanation:

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3 years ago

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Answer ALL of the questions. LOOK AT ALL THE PICTUERS .Show your work. if you can show me a picture of your work and the step yo

Svet_ta [14]

7.

To swap a figure to 90 degrees counter clock wise turn the points from

(x,y) to (-y,x)

Let’s get your points

(-2,3) ; (-4,2) ; (-2,-4)

Swap the values and make the new x’s negotiate

(-3,-2) ; (-2,-4) ; (4,-2)

These should be the points of the new figure with is 90 degrees counterclockwise of the first one.

10.

To find x you can either:

Add 93 and 54
Or
Find the missing value of the triangle and subtract it from 180. Let’s do both

x = 93 + 54
x = 147

Or

180 - 93 - 54
33
180 - 33 = 147

x = 147

8.

First we dilate the coordinates by 0.5

(-4,6) ; (2,6) ; (2,-4) ; (-4,-4)

Basically divide each x and by by two

(-2,3) ; (1,3) ; (1,-2) ; (-2,-2)

Two units left would be to subtract two from the x values

(-4,3) ; (-1,3) ; (-1,-2) ; (-4, -2)

Add three to each y value

New coordinates:

(-4,6) (-1,6) (-1,1) (-4,1)

6.

Since these are the same circle, then we need to multiply the radius by 2 and then make the newly formed diameters equal to each other

2(6x) = 10x + 8

Multiply

12x = 10x + 8

Get x on one side

2x = 8

Divide

x = 4

Plug in 4 for an equation

2(6(4))

48

Circumference = pi * diameter

Unsure if you use 3.14 for pi

If you use 3.14 :

(3.14) (48) = 150.72

If you use pi :

Pi (48) (rounded) = 150.80

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2 years ago