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3 years ago

12

Is this correct? I need help

1 answer:

Lerok [7]3 years ago

8 0

Answer:yes

Step-by-step explanation:

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Karen purchased a used vehicle that depreciates under a straight line method the initial value if the car is 4400 and the salvag

emmasim [6.3K]

It is expected to depreciate from 4400 to 800 in 6 years. The depreciation per year is the ratio
depreciation per year = (total depreciation) / (number of years)

The total depreciation is the change in value, so the depreciation per year is
(4400 - 800)/6 = 600

Karen expects the vehicle to depreciate by 600 each year.

4 0

3 years ago

Read 2 more answers

Please answer :'<

sesenic [268]

Answer:

D. 56.3 cubic units

Step-by-step explanation:

To find the volume of a rectangular prism you use the formula <u>v=l*w*h</u> which means you multiply <u>5*3*3.75</u> to find your answer of 56.3 cubic units.

3 0

3 years ago

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Coefficient of x in -9xy2z is

andrew11 [14]

Answer:

The coefficient is -9

Step-by-step explanation:

The coefficient is the number that is multiplied by a variable and is always located before the variable.

7 0

3 years ago

Which of the following is an example of the distributive property?

lukranit [14]

Answer:

option 3: 3(10+5) = 30+15

Step-by-step explanation:

7 0

3 years ago

A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean

EastWind [94]

Using the normal distribution, it is found that 7.64% of of sample means are greater than 8.8 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean $\mu$ and standard deviation $\sigma$ is given by:

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

The z-score measures how many standard deviations the measure is above or below the mean.

Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

The parameters are given as follows:

$\mu = 8.4, \sigma = 1.77, n = 40, s = \frac{1.77}{\sqrt{40}} = 0.2799$

The proportion of sample means greater than 8.8 hours is <u>one subtracted by the p-value of Z when X = 8.8</u>, hence:

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

By the Central Limit Theorem

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

$Z = \frac{8.8 - 8.4}{0.2799}$

Z = 1.43

Z = 1.43 has a p-value of 0.9236.

1 - 0.9236 = 0.0764.

7.64% of of sample means are greater than 8.8 hours.

More can be learned about the normal distribution at brainly.com/question/25800303

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6 0

2 years ago