Confidence interval of two sample tests

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Homework Help Overview

The discussion revolves around a statistical analysis of tire wear for two brands of tires, A and B, focusing on the calculation of pooled variance and the determination of a confidence interval for the difference in mean mileage before "heel and toe" wear is detectable. The problem involves understanding the implications of sample sizes and variances in the context of normally distributed data.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants are exploring the appropriate sample sizes to use for calculations, particularly whether to use n = 13 or n = 11 for brand B in different contexts. There are also questions regarding the interpretation of the units provided in the problem statement, specifically the meaning of "103 miles" and "106 miles²" in relation to the statistics given.

Discussion Status

Some participants have provided clarifications regarding the sample sizes and the interpretation of the problem statement. There is ongoing exploration of the assumptions and definitions involved in the calculations, but no consensus has been reached on the correct approach to take.

Contextual Notes

The original poster mentions the need for precision in calculations and expresses uncertainty about the values to use for sample sizes. There is also a note about the exclusion of two cars from the sample for brand B due to unrelated tire faults, which may affect the interpretation of the data.

hahaha158
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Homework Statement


Some car tires can develop what is known as "heel and toe" wear if not rotated after a certain mileage. To assess this issue, a consumer group investigated the tire wear on two brands of tire, A and B, say. Fifteen cars were fitted with new brand A tires and thirteen with brand B tires, the cars assigned to brand at random. (Two cars initially assigned to brand B suffered serious tire faults other than heel and toe wear, and were excluded from the study.) The cars were driven in regular driving conditions, and the mileage at which heal and toe wear could be observed was recorded on each car. For the cars with brand A tires, the mean mileage observed was 24.99 (in 103 miles ) and the variance was 7.75 (in 106 miles2). For the cars with brand B, the corresponding statistics were 32.92 (in 103miles) and 6.47 (in 106 miles2 ) respectively. The mileage before heal and toe wear is detectable is assumed to be Normally distributed for both brands.

Calculate the pooled variance s2 to 3 decimal places. During intermediate steps to arrive at the answer, make sure you keep as many decimal places as possible so that you can achieve the precision required in this question.

Determine a 95% confidence interval for μA−μB, the difference in the mean 103 mileages before heal and toe wear for the two brands of tire. Leave your answer to 2 decimal places. (

Homework Equations

The Attempt at a Solution



I am fairly sure I know how to do this question, the only issue I have is I am not sure what value to use for n for tire 2. I am assuming we would need to use n = 13 when calculating pooled variance, and n = 11 when calculating the confidence interval? Or would I use n = 11 for everything?

Any help is appreciated, thanks[/B]
 
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I read that to say they initially had 15 and 15, but since 2 were excluded they have 15 and 13. Use 13 for B.
 
hahaha158 said:

Homework Statement


Some car tires can develop what is known as "heel and toe" wear if not rotated after a certain mileage. To assess this issue, a consumer group investigated the tire wear on two brands of tire, A and B, say. Fifteen cars were fitted with new brand A tires and thirteen with brand B tires, the cars assigned to brand at random. (Two cars initially assigned to brand B suffered serious tire faults other than heel and toe wear, and were excluded from the study.) The cars were driven in regular driving conditions, and the mileage at which heal and toe wear could be observed was recorded on each car. For the cars with brand A tires, the mean mileage observed was 24.99 (in 103 miles ) and the variance was 7.75 (in 106 miles2). For the cars with brand B, the corresponding statistics were 32.92 (in 103miles) and 6.47 (in 106 miles2 ) respectively. The mileage before heal and toe wear is detectable is assumed to be Normally distributed for both brands.

Calculate the pooled variance s2 to 3 decimal places. During intermediate steps to arrive at the answer, make sure you keep as many decimal places as possible so that you can achieve the precision required in this question.

Determine a 95% confidence interval for μA−μB, the difference in the mean 103 mileages before heal and toe wear for the two brands of tire. Leave your answer to 2 decimal places. (

Homework Equations

The Attempt at a Solution



I am fairly sure I know how to do this question, the only issue I have is I am not sure what value to use for n for tire 2. I am assuming we would need to use n = 13 when calculating pooled variance, and n = 11 when calculating the confidence interval? Or would I use n = 11 for everything?

Any help is appreciated, thanks[/B]

I cannot figure out what you mean in parts of the problem statement. The statement that the mean is 24.99 is simple enough, but where does the "103 miles" come into it? The statement that the variance is 7.75 is simple enough, but where does the "106 miles2" come in? Do you mean that a car makes an average of 24.99 103-mile trips (in other words, drives an average of 2,573.97 miles)? Do you mean that the variance is (7.75)(106) = 821.5 miles2?
 
I think "103" and "106" are supposed to be 103 and 106.
 
vela said:
I think "103" and "106" are supposed to be 103 and 106.

Thank you; that makes sense. Too bad the OP could not have been as helpful.
 

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