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Alex
4 years ago
15

3) g(x) = 3x - 5

Mathematics
1 answer:
lesya692 [45]4 years ago
4 0

Answer:

C. X²-4X+6

MY ANSWER(not sure)

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3. If the scale factor in a dilation is a number between 0 and
REY [17]

Answer: Reduction

Step-by-step explanation: If the scale factor of a dilation is between 0 and 1, the image will be smaller than the object, a reduction. It would only be an enlargement if the scale factor is greater than 1.

4 0
3 years ago
What is the product (3a2b4)(-8ab3)
Serggg [28]

<u>Answer:</u>

-24a^3b^7

<u>Step-by-step explanation:</u>

We are given the following expression and we are to find its product:

(3a^2b^4)(-8ab^3)

Here, we need to recall the the product rule according to which the exponents are added when you multiply two powers that have the same base.

So here the powers of a and b will be added to their powers to give:

(3a^2b^4)(-8ab^3) = -24a^{(2+1)}b^{(4+3)} = -24a^3b^7

Therefore, the product of the given expression is -24a^3b^7.

8 0
3 years ago
What is the vertex of f(x)=x^2+12x=31
Ket [755]

Answer:

x

=

±

√

5

−

6

Decimal Form:

x

=

−

3.76393202

…

,

−

8.23606797

…

Step-by-step explanation:

3 0
3 years ago
I need help with this question?
andrew11 [14]
I don’t know the answer I’m sorry god bless you
8 0
3 years ago
Read 2 more answers
Identify the type I error and the type II error for a hypothesis test of the indicated claim. The percentage of adults who retir
matrenka [14]

Answer:

<u>Type I error: </u>D. Reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually true.

<u>Type II error: </u>A. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually false.

Step-by-step explanation:

A type I error happens when a true null hypothesis is rejected.

A type II error happens when a false null hypothesis is failed to be rejected.

In this case, where the alternative hypothesis is that "the percentage of adults who retire at age 65 is greater than 62%", the null hypothesis will state that this percentage is not significantly greater than 62%.

A type I error would happen when the conclusion is that the percentage is greater than 62%, when in fact it is not.

A type II error would happen when there is no enough evidence to claim that the percentage is greater than 62%, even when the percentage is in fact greater than 62% (but we still don't have evidence to prove it).

5 0
4 years ago
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