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Julli [10]
3 years ago
8

Max’s car travels 33 miles for every gallon of gas. On a road trip with a total distance of 512 miles, to the nearest gallon of

gas, about how many gallons will Max’s car use?
Mathematics
2 answers:
Archy [21]3 years ago
8 0

Answer:

About 15 gallons.

Step-by-step explanation:

Sloan [31]3 years ago
8 0

Answer: $3.25

Step-by-step explanation: i just took the question!!

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A wedding planner purchased both small and large lanterns for a wedding reception. The planner purchased a total of 40 lanterns
Olegator [25]

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The wedding planner must have purchased 28 small lanterns and 12 large lanterns.

Step-by-step explanation:

8 0
2 years ago
As Español
goldenfox [79]

Answer:

B

Step-by-step explanation:

120-73 = S

therefore 73+s = 120

so 120- s = 73

5 0
2 years ago
Write in standard form: 800,000 + 70,000 + 400 + 6
Alex73 [517]

Answer:

870,406

Step-by-step explanation:

6 0
2 years ago
Read 2 more answers
A scale drawing of a patio is shown at right. The scale is 3 inches : 5.2 feet. What are the length and width of the patio? Find
ANTONII [103]

Answer:

The length is 5.2 and the width is 3 and the area is 15.6

Step-by-step explanation:

To get the area just multiply width by length

5 0
2 years ago
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The number and frequency of Atlantic hurricanes annually from 1940 through 2007 is shown here:
klio [65]

Answer:

The probability table is shown below.

A Poisson distribution can be used to approximate the model of the number of hurricanes each season.

Step-by-step explanation:

(a)

The formula to compute the probability of an event <em>E</em> is:

P(E)=\frac{Favorable\ no.\ of\ frequencies}{Total\ NO.\ of\ frequencies}

Use this formula to compute the probabilities of 0 - 8 hurricanes each season.

The table for the probabilities is shown below.

(b)

Compute the mean number of hurricanes per season as follows:

E(X)=\frac{\sum x f_{x}}{\sum f_{x}}=\frac{176}{68}=  2.5882\approx2.59

If the variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 7.56 then the probability function is:

P(X=x)=\frac{e^{-2.59}(2.59)^{x}}{x!} ;\ x=0, 1, 2,...

Compute the probability of <em>X</em> = 0 as follows:

P(X=0)=\frac{e^{-2.59}(2.59)^{0}}{0!} =\frac{0.075\times1}{1}=0.075

Compute the probability of <em>X</em> = 1 as follows:

\neq P(X=1)=\frac{e^{-2.59}(2.59)^{1}}{1!} =\frac{0.075\times7.56}{1}=0.1943

Compute the probabilities for the rest of the values of <em>X</em> in the similar way.

The probabilities are shown in the table.

On comparing the two probability tables, it can be seen that the Poisson distribution can be used to approximate the distribution of the number of hurricanes each season. This is because for every value of <em>X</em> the Poisson probability is approximately equal to the empirical probability.

5 0
3 years ago
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