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Setler79 [48]
3 years ago
7

Ben drives 405 miles on 15 gallons. How many miles does Ben drive on one gallon?

Mathematics
2 answers:
Korvikt [17]3 years ago
7 0
27 miles to the gallon.
ZanzabumX [31]3 years ago
6 0
405:15
?:1
405/15= 27
15/15=1
27:1
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Determine whether the following statements are true and give an explanation or counterexample.
Furkat [3]

Answer:

A) When using the shell​ method, the axis of the cylindrical shells is parallel to the axis of revolution. True.

The Shell method is a technique used to find the volume of a solid of revolution. Here, we take thin shells with axis coinciding with the axis about which the region whose volume is to be found, is revolved.

B) If a region is revolved about the​ y-axis, then the shell method must be used. False.

This method can be used with any axis of rotation.

C) If a region is revolved about the​ x-axis, then in principle it is possible to use the​ disk/washer method and integrate with respect to x or the shell method and integrate with respect to y. True.

The washer method uses thin disks with infinite width but the shell method uses thin concentric shells with infinite width about the axis of revolution. So, the statement is true.

5 0
3 years ago
A student answers ​90% of the questions on a math exam correctly. If she answers 27 questions​ correctly, how many questions are
alexandr1967 [171]

Answer:

30 questions

Step-by-step explanation:

You can discover this by doing 27 divided by . 90 which equals 30.

6 0
3 years ago
Suppose it is known that the distribution of purchase amounts by customers entering a popular retail store is approximately norm
iragen [17]

Answer:

a. 0.691

b. 0.382

c. 0.933

d. $88.490

e. $58.168

f. 5th percentile: $42.103

95th percentile: $107.897

Step-by-step explanation:

We have, for the purchase amounts by customers, a normal distribution with mean $75 and standard deviation of $20.

a. This can be calculated using the z-score:

z=\dfrac{X-\mu}{\sigma}=\dfrac{85-75}{20}=\dfrac{10}{20}=0.5\\\\\\P(X

The probability that a randomly selected customer spends less than $85 at this store is 0.691.

b. We have to calculate the z-scores for both values:

z_1=\dfrac{X_1-\mu}{\sigma}=\dfrac{65-75}{20}=\dfrac{-10}{20}=-0.5\\\\\\z_2=\dfrac{X_2-\mu}{\sigma}=\dfrac{85-75}{20}=\dfrac{10}{20}=0.5\\\\\\\\P(65

The probability that a randomly selected customer spends between $65 and $85 at this store is 0.382.

c. We recalculate the z-score for X=45.

z=\dfrac{X-\mu}{\sigma}=\dfrac{45-75}{20}=\dfrac{-30}{20}=-1.5\\\\\\P(X>45)=P(z>-1.5)=0.933

The probability that a randomly selected customer spends more than $45 at this store is 0.933.

d. In this case, first we have to calculate the z-score that satisfies P(z<z*)=0.75, and then calculate the X* that corresponds to that z-score z*.

Looking in a standard normal distribution table, we have that:

P(z

Then, we can calculate X as:

X^*=\mu+z^*\cdot\sigma=75+0.67449\cdot 20=75+13.4898=88.490

75% of the customers will not spend more than $88.49.

e. In this case, first we have to calculate the z-score that satisfies P(z>z*)=0.8, and then calculate the X* that corresponds to that z-score z*.

Looking in a standard normal distribution table, we have that:

P(z>-0.84162)=0.80

Then, we can calculate X as:

X^*=\mu+z^*\cdot\sigma=75+(-0.84162)\cdot 20=75-16.8324=58.168

80% of the customers will spend more than $58.17.

f. We have to calculate the two points that are equidistant from the mean such that 90% of all customer purchases are between these values.

In terms of the z-score, we can express this as:

P(|z|

The value for z* is ±1.64485.

We can now calculate the values for X as:

X_1=\mu+z_1\cdot\sigma=75+(-1.64485)\cdot 20=75-32.897=42.103\\\\\\X_2=\mu+z_2\cdot\sigma=75+1.64485\cdot 20=75+32.897=107.897

5th percentile: $42.103

95th percentile: $107.897

5 0
4 years ago
Which of the following inequalities matches the graph?
eimsori [14]

Answer:

Step-by-step explanation:

y=2x+2

4 0
3 years ago
A jar contains, cardinal and
natulia [17]

Answer:

D

Step-by-step explanation:

ince the only colors are white, green, yellow, red, and purple, we can see that NOT getting red or purple is the same as GETTING white, green or yellow

So, P(NOT getting red or purple) = P(GETTING white, green or yellow)

There are 60 jellybeans in total.

Number of jellybeans that are white, green or yellow = 22 + 18 + 11 = 51

So, P(GETTING white, green or yellow) = 51/60

= 17/20

= 0.85

Answer: D

4 0
4 years ago
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