Area under a normal curve: How long should the guarantee be?

So, they could guarantee 30 minute oil changes. In summary, using the given mean and standard deviation, the shop can guarantee that no more than 1% of customers will receive a free oil change by completing the job in 30 minutes or less. This is based on the z-value of 2.33, which represents the cutoff time for a free oil change.
  • #1
ChrisBlack
10
0

Homework Statement


The mean is 17.8 and the standard deviation is 5.2. The shop does not want to give more than 1% of its customers free service, how long should the guarantee be? (cut the problem short, the rest was just story)


Homework Equations


I think the equation I would use is X = Z(standard deviation) + Mean


The Attempt at a Solution


I changed 1% into the Z score and got -2.33 and plugged that into the equation, -2.33(5.2) + 17.8 and ended up with 5.684. That is lower than the mean though which does not make sense to me, why would the shop guarantee they can complete the job in 6 minutes (rounding up) is the mean is 17.8. Where did I go wrong? Thanks in advance!
 
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  • #2
Are you sure you have the interpretation correct? The shop can say that no more than 1% of jobs will be finished in less than 5.68 minutes; that is, they can say "we guarantee we won't finish your job before 5.68 minutes". Wouldn't the shop want to say "we can guarantee your job won't take _longer than_ X minutes"? That would make X greater than 17.8, not less.

RGV
 
  • #3
ChrisBlack said:

Homework Statement


The mean is 17.8 and the standard deviation is 5.2. The shop does not want to give more than 1% of its customers free service, how long should the guarantee be? (cut the problem short, the rest was just story)


Homework Equations


I think the equation I would use is X = Z(standard deviation) + Mean


The Attempt at a Solution


I changed 1% into the Z score and got -2.33
The z score you want is +2.33.
ChrisBlack said:
and plugged that into the equation, -2.33(5.2) + 17.8 and ended up with 5.684. That is lower than the mean though which does not make sense to me, why would the shop guarantee they can complete the job in 6 minutes (rounding up) is the mean is 17.8. Where did I go wrong? Thanks in advance!
 
  • #4
Ray Vickson said:
Are you sure you have the interpretation correct? The shop can say that no more than 1% of jobs will be finished in less than 5.68 minutes; that is, they can say "we guarantee we won't finish your job before 5.68 minutes". Wouldn't the shop want to say "we can guarantee your job won't take _longer than_ X minutes"? That would make X greater than 17.8, not less.

RGV

The problem says that the shop does not want to give more than 1% of customers a free oil change, so I would think it would be over the mean, which makes sense if the Z score is positive, but i don't see why it's positive. Sorry, I should have written the whole problem
 
  • #5
Right. So if the z-value for the time it takes the shop to do an oil change is larger than 2.33, that represents only 1% of the customers.

Now, you need to translate that z-value of 2.33 to an x-value, which represents the cutoff time for an oil change. If the shop takes longer than that cutoff value, the oil change is free.
 
  • #6
The equation I posted at the top is the correct one to change the Z value to an X right? the answer i got it 29.91, or 30 minutes
 
  • #7
Yes, your equation is fine, and barring any arithmetic errors (I didn't check), your answer looks fine.
 

FAQ: Area under a normal curve: How long should the guarantee be?

What is the area under a normal curve?

The area under a normal curve is the total area under the curve of a normal distribution. It represents the probability of a random variable falling within a certain range of values.

How is the area under a normal curve calculated?

The area under a normal curve is calculated using integration techniques. The normal distribution has a bell-shaped curve, and the area under the curve is equal to the total probability of all possible outcomes.

What is the significance of the area under a normal curve?

The area under a normal curve is significant because it allows us to determine the probability of a certain event occurring within a normal distribution. It also helps in analyzing and understanding data in various fields, such as statistics, psychology, and economics.

What is the relationship between the area under a normal curve and standard deviation?

The area under a normal curve is directly related to the standard deviation of the normal distribution. The larger the standard deviation, the flatter and wider the curve, and the larger the area under the curve. This indicates a greater spread of data points and a lower probability of a specific outcome occurring.

Can the area under a normal curve be negative?

No, the area under a normal curve cannot be negative. The normal distribution curve is always positive and symmetrical around the mean, and the area under the curve represents probabilities, which cannot be negative.

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