A car is driven 600 miles and uses 20 gallons of gas. If gas is $1.05 per gallon, what is the gasoline cost per mile?

I will mark you as the brainiest if you get this correct Thx so much xxx

solong [7]

Answer:

A= 168 minutes or 2 hours and 48 minutes.

B= 3 tyres

Step-by-step explanation:

4 0

3 years ago

How do you solve each absolute value by graphing

saw5 [17]

Your question answers itself. You solve by graphing.

I like to subtract one side of the equation from the other, so the solutions are where the graph crosses the x-axis (the resulting function value is zero).

It can be useful to find the "turning point" of each absolute value expression (where its value is zero) and graph that and some points on either side.

7 0

3 years ago

Some kids are selling lemonade for $1.50 per cup at a high

BaLLatris [955]

A function that would represent profit based on the number of cups of lemonade is Profit = 1.5n - 14

Solution:

Given, Some kids are selling lemonade for $1.50 per cup at a high school baseball game.

They spent $14 on all of the items needed for the lemonade stand (cups, lemonade, table oth, sign, etc)

We have to create a function that would represent profit based on the number of cups of lemonade

Now, let the number of cups sold be "n"

Then , we know that, profit = selling price – cost price

Profit = number of cups sold x price per cup – cost price

Profit = n x $ 1.5 – $ 14

Profit = 1.5n – 14

Hence, the function is Profit = 1.5n - 14

6 0

3 years ago

A random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength

irinina [24]

Answer:

Probability that the sample mean comprehensive strength exceeds 4985 psi is 0.99999.

Step-by-step explanation:

We are given that a random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength μ = 5500 psi and the standard deviation is σ = 100 psi.

Let $\bar X$ = sample mean comprehensive strength

The z-score probability distribution for sample mean is given by;

Z = $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\mu$ = population mean comprehensive strength = 5500 psi

$\sigma$ = standard deviation = 100 psi

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, Probability that the sample mean comprehensive strength exceeds 4985 psi is given by = P( $\bar X$ > 4985 psi)

P( $\bar X$ > 4985 psi) = P( $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ > $\frac{4985-5500}{\frac{100}{\sqrt{9} } }$ ) = P(Z > -15.45) = P(Z < 15.45)

= 0.99999

Since in the z table the highest critical value of x for which a probability area is given is x = 4.40 which is 0.99999, so we assume that our required probability will be equal to 0.99999.

4 0

4 years ago

At a warehouse, boxes of merchandise are placed on shelves in stacks that are 7 boxes high. If each box is 3 1/5 inches in heigh

lesya692 [45]

22.4; 7 * 3 1/5 = 22.4

6 0

3 years ago