A tire manufacturer believes that the tread life of its snow tires can be described by a Normal model with a mean of 31 000 miles and a standard deviation of 2500 miles. Complete parts a through e below. Question content area bottom Part 1 a) If you buy a set of these tires, would it be reasonable for you to hope that they'll last 36 000 miles? Explain. About 2.3% of tires are expected to have a tread life greater than 36 000 miles. It would not be reasonable to hope that your tires lasted this long. (Round to one decimal place as needed.) Part 2 b) Approximately what fraction of these tires can be expected to last less than 27 000 miles? About 5.5% of these tires can be expected to last less than 27 000 miles. (Round to one decimal place as needed.) Part 3 c) Approximately what fraction of these tires can be expected to last between 27 000 and 35 000 miles? About 89.0% of these tires can be expected to last between 27 000 and 35 000 miles. (Round to one decimal place as needed.) Part 4 d) Estimate the interquartile range (IQR) for these data. The IQR is 3373 miles. (Round to the nearest mile as needed.) Part 5 e) In planning a marketing strategy, a local tire dealer wants to offer a refund to any customer whose tires fail to last a certain number of miles. However, the dealer does not want to take too big of a risk. If the dealer is willing to give refunds to no more than 1 of every 25 customers, for what mileage can he guarantee these tires to last? The tire dealer can guarantee these tires last at least enter your response here miles.
A tire manufacturer believes that the tread life of its snow tires can be described by a Normal model with a mean of 31 000 miles and a standard deviation of 2500 miles. Complete parts a through e below. Question content area bottom Part 1 a) If you buy a set of these tires, would it be reasonable for you to hope that they'll last 36 000 miles? Explain. About 2.3% of tires are expected to have a tread life greater than 36 000 miles. It would not be reasonable to hope that your tires lasted this long. (Round to one decimal place as needed.) Part 2 b) Approximately what fraction of these tires can be expected to last less than 27 000 miles? About 5.5% of these tires can be expected to last less than 27 000 miles. (Round to one decimal place as needed.) Part 3 c) Approximately what fraction of these tires can be expected to last between 27 000 and 35 000 miles? About 89.0% of these tires can be expected to last between 27 000 and 35 000 miles. (Round to one decimal place as needed.) Part 4 d) Estimate the interquartile range (IQR) for these data. The IQR is 3373 miles. (Round to the nearest mile as needed.) Part 5 e) In planning a marketing strategy, a local tire dealer wants to offer a refund to any customer whose tires fail to last a certain number of miles. However, the dealer does not want to take too big of a risk. If the dealer is willing to give refunds to no more than 1 of every 25 customers, for what mileage can he guarantee these tires to last? The tire dealer can guarantee these tires last at least enter your response here miles.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
Related questions
Question
A tire manufacturer believes that the tread life of its snow tires can be described by a Normal model with a mean of
31 000
miles and a standard deviation of
2500
miles. Complete parts a through e below.Question content area bottom
Part 1
a) If you buy a set of these tires, would it be reasonable for you to hope that they'll last
36 000
miles? Explain.About
be reasonable to hope that your tires lasted this long.
2.3%
of tires are expected to have a tread life greater than
36 000
miles. It
would not
(Round to one decimal place as needed.)
Part 2
b) Approximately what fraction of these tires can be expected to last less than
27 000
miles?About
5.5%
of these tires can be expected to last less than
27 000
miles.(Round to one decimal place as needed.)
Part 3
c) Approximately what fraction of these tires can be expected to last between
27 000
and
35 000
miles?About
89.0%
of these tires can be expected to last between
27 000
and
35 000
miles.(Round to one decimal place as needed.)
Part 4
d) Estimate the interquartile range (IQR) for these data.
The IQR is
3373
miles.(Round to the nearest mile as needed.)
Part 5
e) In planning a marketing strategy, a local tire dealer wants to offer a refund to any customer whose tires fail to last a certain number of miles. However, the dealer does not want to take too big of a risk. If the dealer is willing to give refunds to no more than 1 of every
25
customers, for what mileage can he guarantee these tires to last?The tire dealer can guarantee these tires last at least
enter your response here
miles.Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![A First Course in Probability (10th Edition)](https://www.bartleby.com/isbn_cover_images/9780134753119/9780134753119_smallCoverImage.gif)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
![A First Course in Probability](https://www.bartleby.com/isbn_cover_images/9780321794772/9780321794772_smallCoverImage.gif)
![A First Course in Probability (10th Edition)](https://www.bartleby.com/isbn_cover_images/9780134753119/9780134753119_smallCoverImage.gif)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
![A First Course in Probability](https://www.bartleby.com/isbn_cover_images/9780321794772/9780321794772_smallCoverImage.gif)