Normal distribution: tire durability

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Homework Help Overview

The problem involves the normal distribution of tire durability, specifically focusing on the lifespan of a tire rated for 60000 miles, with a mean of 75000 miles and a standard deviation of 5000 miles. Participants are tasked with calculating probabilities related to the tire wearing out before 60000 miles and lasting more than 85000 miles.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the calculation of z-scores for the given mileage thresholds and the corresponding probabilities. There is confusion regarding the interpretation of z-values and the correct use of probability charts.

Discussion Status

Some participants express uncertainty about their calculations and the accuracy of their results. There is mention of potential errors in input format or significant digits, and a few participants question the assumptions made about the probability values derived from the z-scores.

Contextual Notes

Participants note that the normal distribution does not allow for probabilities at exact z-values, which raises questions about the interpretation of the probability charts being used. There is also a suggestion that the answers may need to be presented in a specific format.

k77i
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Homework Statement



The top-selling Red and Voss tire is rated 60000 miles, which means nothing. In fact, the distance the tires can run until wear-out is a normally distributed random variable with a mean of 75000 miles and a standard deviation of 5000 miles.

A. What is the probability that the tire wears out before 60000 miles?

B. What is the probability that a tire lasts more than 85000 miles?


Homework Equations



z = [X - (mean of X)]/Standard deviation


The Attempt at a Solution



This is another simple question that I can't seem to be getting correct.

For part A, I did z = (60000 - 75000)/5000 = -3
Then P(z < -3) = 0.0013 according to the chart.. well 0.0013 is P(z= -3.0).. I tried entering the answer for P( z= -2.99) = 0.0014 since it's the last value on the chart lower than -3 also but that was also incorrect.

For part B, z = [85000 - 75000]/5000 = 2
Then P(z > 2) = 1- P(z = 2) = 1 - 0.9772 = 0.0288
Also incorrect..
 
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k77i said:

The Attempt at a Solution



This is another simple question that I can't seem to be getting correct.

For part A, I did z = (60000 - 75000)/5000 = -3
Then P(z < -3) = 0.0013 according to the chart.. well 0.0013 is P(z= -3.0).. I tried entering the answer for P( z= -2.99) = 0.0014 since it's the last value on the chart lower than -3 also but that was also incorrect.

What region does you chart provide z-values for? Some charts will directly give you the value of P(z<a).

k77i said:
For part B, z = [85000 - 75000]/5000 = 2
Then P(z > 2) = 1- P(z = 2) = 1 - 0.9772 = 0.0288
Also incorrect..

P(z>2) = 1-P(z≤2) = 1-P(z=2)-p(z<2).
 
im not sure what u mean by which region but my hart goes to a point z?
 
Forget my initial posts with P(z=a), you can't have P(z=a) for a normal distribution. I would think your answers are correct, I am not sure why exactly it is saying is incorrect.
 
Your first answer should be correct as rf already indicated.
Perhaps you need to find a certain input format?
Like present it as a percentage, or with a different number of significant digits?

You made a calculation error in the second. It should be 0.0228 or 2.28%.
 

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