Normal distribution: tire durability

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The discussion focuses on calculating probabilities related to the durability of a tire, which follows a normal distribution with a mean of 75,000 miles and a standard deviation of 5,000 miles. For part A, the probability of the tire wearing out before 60,000 miles was calculated using the z-score formula, yielding a result of approximately 0.0013, which was deemed incorrect. In part B, the probability of the tire lasting more than 85,000 miles was calculated, but the initial answer of 0.0288 was also found to be incorrect, with the correct value being 0.0228 or 2.28%. The conversation highlights the importance of understanding z-scores and the correct interpretation of probability values in normal distributions. Accurate formatting and significant digits may also play a role in the acceptance of the answers.
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%.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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