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4 years ago

Find the average rate of change for the given function from x = −1 to x = 2.

Mathematics

1 answer:

ziro4ka [17]4 years ago

3 0

average rate of change is the slope. You can use the two points to calculate the slope, or just use the graph and count rise over run.

rise over run is down 3 and to the right 1 = $\frac{-3}{1}$ = -3

Answer: C

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your car broke down and the final bill was $306.50. The part that was replaced cost $119 and the charge mechanics labor was 75 p

erastova [34]

Answer:

$\huge\boxed\text{Equation:}$ $\huge\boxed{\text{Equation: }119+75x=306.50}\\$

$\huge\boxed{\text{Hours worked on: } 2.5}$

Step-by-step explanation:

We can create an equation for this problem by converting the words to an equation.

The flat fee was $119. We then add $75 for every hour worked. This means that this becomes $119+75x$ . Since the total cost was $306.50, the equation is $119+75x=306.50$ .

We can now solve for x, the amount of hours worked, to find it’s value.

$119 + 75x = 306.5\\\\75x=187.5\\\\x = 2.5$

Hope this helped!

5 0

3 years ago

Using the order of operations, what should be done first to evaluate 6 squared + 10 divided by (negative 5) (3) minus 5?

RSB [31]

6^2 + 10 divide by (-5) (3) - 5
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3 years ago

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Use the distance formula to find the distance between (-3, 5) and (3,1).

taurus [48]

Answer:

its 52

Step-by-step explanation:

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3 years ago

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Solve: logx64 = 3

vivado [14]

Answer: $x^3=64$

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3 years ago

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The researcher is interested to know if policy A (new) is more effective than policy B (old). Frame the hypothesis and describe

vesna_86 [32]

Answer:

Null hypothesis: Policy B remains more effective than policy A.

Alternate hypothesis: Policy A is more effective than policy B.

Step-by-step explanation:

Remember, a hypothesis is a usually tentative (temporary until tested) assumption about two variables– independent and the dependent variable.

We have two types of hypothesis errors:

1. A type I error occurs when the null hypothesis (H0) is wrongly rejected.

That is, rejecting the assumption that policy B remains more effective than policy A when it is actually true.

2. A type II error occurs when the null hypothesis H0, is not rejected when it is actually false. That is, accepting the assumption that policy B remains more effective than policy A when it is actually false.

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3 years ago