The time required for an automotive center to complete an oil change service on an automobile approximately follows a normal distribution, with the mean of 17 minutes and a standard deviation of 2 minutes. a) The automotive center guarantees customers that the service will take no longer than 20 minutes. If it does take longer, the customer will receive the service for half-price. What percent of customers receive the service for half-price? b) If the automotive center does not want to give the discount to more than 2% of its customers, how long should it make the guaranteed time limit?
Hi, Those customers who receive half-price are those where the service takes more than 20 minutes. Since the mean is 17 minutes, the customers who receives half-price are those where the service takes 20 - 17 = 3 minutes above the mean.
When dealing with these kind of problems, the thing is all about converting units. You need to convert those 3 units ''of minutes'' in units of standard deviation.
How do I do that?
You are given the following information:
\(\large{\mu = 17\ minutes}\) \(\large{\sigma = 2 \frac{minutes}{standard\ deviation}}\) <- It can be read as 'minutes per standard deviation'. \(\large{X = 20\ minutes}\)
A unit conversion (for instance, from inches to meters) is all about cancelling units.
We want to find how many standard deviations away those 3 minutes lie above the mean. Cancelling unit of minutes and leaving units of standard deviations is needed. Do you guess how it can be done?
I'm not sure. Cross multiplication?
Yep. Let me help you: \(\large{\frac{3\ minutes}{\left(2 \frac{minutes}{standard\ deviation}\right)} = \frac{3}{2} minutes * \frac{standard\ deviation}{minutes}}\)
minutes cancels out and we are left with 3/2 standard deviations (sd) = 1.5 (sd)
We are almost done with a), because you are asked to find the percentage of customer where the service takes more than 3 minutes. We know that more than 3 minutes means more than 1.5 sd above the mean.
To find this out, you need a z-table or z-calculator. Do you know how to do it?
I have a z-table. I was curious, how did you get 1.5 sd?
Take a look the last expression I wrote in Latex code. 3/2 = 1.5 and minutes cancel each other out, leaving just the units of standard deviation. The 1.5 sd (:
I understand. What would I have to look for on my z table?
Since you want to find the probability of getting a value (an oil change service) greater than 1.5 sd from the mean, you need to look at the proportion that lies 1.5 sd toward the tail.
I'm not sure how to read this :[
Usually a z-table has 4 columns. What we've found, 1.5 sd is called the z-score.
Take a look at the image below.
Proportion in tail is what we are looking for. It just means the proportion above 1.5sd and it goes all the way to the upper tail.
Does it seem too difficult?
Yes. I'm confused.
Notice the process we followed: First we find the difference of the value given (X) from the mean. Then we convert from those units to unit of standar deviation. This is generally written as: \(\large{\frac{X-\mu}{\sigma}}\) Then we get the z-score. And finally we find the probability. Having X and mean -> Difference -> unit conversion -> z-score -> probability.
To solve b) you need to do the whole process in reverse (following the arrow from the right): Having mean but not X <- Difference <- unit conversion <- z-score <- probability
Join our real-time social learning platform and learn together with your friends!