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2 years ago

45 for 12 gallons of gas how much did each gallon of gas cost

Mathematics

2 answers:

Vladimir79 [104]2 years ago

7 0

Answer:

answer is 57

Step-by-step explanation:

add and then check

schepotkina [342]2 years ago

6 0

Answer:

the answer is 57

Step-by-step explanation:

add

You might be interested in

Assume the given distributions are normal. Cucumbers grown on a certain farm have weights with a standard deviation of 2 ounces.

forsale [732]

Answer:

13.92

Step-by-step explanation:

We have that the critical z-score associated with 85% to the left is 1.04, we know that by table.

So we have to:

m + z * (sd) = 16

where m is the mean, z is the critical z-scor and sd is the standard deviation, if we replace we are left with:

m + 1.04 * (2) = 16

m = 16 - 1.04 * (2)

m = 13.92

Therefore, the average weight if 85% of cucumbers weigh less than 16 ounces is 13.92

4 0

2 years ago

Question 12(Multiple Choice Worth 5 points)

zubka84 [21]

where is the figure? I can't see it

8 0

1 year ago

Flora has $300 Simon has $74 less than Flora. How much does Simon have

Sladkaya [172]

The correct answer is 226$

5 0

3 years ago

Three times a number, subtracted from two equals twice the number, added to 27 .find the number

Alla [95]

Answer:

{{{N=-5}}}

Step-by-step explanation:

{{{2-3N=2N+27}}}

{{{-5N=25}}}

{{{N=-5}}}

8 0

2 years ago

Suppose that prices of recently sold homes in one neighborhood have a mean of $260,000 with a standard deviation of $3300. Using

Mariana [72]

Answer:

Between (253400;256600)

Step-by-step explanation:

Data given

$\mu =260000$ reprsent the population mean

$\sigma=3300$ represent the population standard deviation

The Chebyshev's Theorem states that for any dataset

We have at least 75% of all the data within two deviations from the mean.
We have at least 88.9% of all the data within three deviations from the mean.
We have at least 93.8% of all the data within four deviations from the mean.

Or in general words "For any set of data (either population or sample) and for any constant k greater than 1, the proportion of the data that must lie within k standard deviations on either side of the mean is at least: $1-\frac{1}{k^2}"$

So using this theorem and the part "We have at least 75% of all the data within two deviations from the mean". And using the theorem we have this:

$0.75 =1-\frac{1}{k^2}$

And solving for k we have this:

$\frac{1}{k^2}=0.25$

$k^2 =\frac{1}{0.25}=4$

$k=\pm 2$

So then we need the limits between two deviations from the mean in order to have at least 75% of the data will reside.

Lower bound:

$\mu -2\sigma=260000-2(3300)=253400$

Upper bound:

$\mu +2\sigma=260000+2(3300)=266600$

So the final answer would be between (253400;256600)

4 0

3 years ago