Find Probability of Cartons of Grommets in Interval

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Homework Help Overview

The discussion revolves around a probability problem involving the average weights of cartons of grommets, specifically focusing on calculating probabilities using the t-distribution based on given sample weights.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the use of the sample mean and standard deviation for t-tests, questioning the application of the binomial distribution versus the t-distribution for average weights.
  • There is a discussion about the interpretation of the problem, particularly regarding the distinction between individual carton weights and the average weight of multiple cartons.
  • Some participants express uncertainty about calculating t-values without a known population mean and seek clarification on the correct interpretation of the probability statements.

Discussion Status

The conversation is active, with participants providing insights on the use of t-tests and clarifying the problem's requirements. There is no explicit consensus, but several productive directions have been suggested regarding the calculation of t-scores and the use of t-tables.

Contextual Notes

Participants note the need for sample statistics and the implications of the sample size on degrees of freedom when using t-distribution tables. There is also mention of potential confusion regarding the interpretation of the probability statements in the context of the problem.

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Homework Statement



This is from a practice exam:

Cartons of grommets are purchased from a manufacturer. Given the sample weights

41.7 40.6 42.4 42.7 41.5
41.0 42.5 40.4 41.2 42.6

a) Find the probability that the average weights of 5 cartons of grommet is between 40.5 and 42.4
b) Find the probability that the average weights of One carton of grommet is between 40.5 and 42.4

Homework Equations



t-distribution?

The Attempt at a Solution



I feel like if I start with part (b) and fine the probability that 1 carton falls in the interval, I can then apply the binomial distribution to find the prob that 5 cartons fall in that interval. But I am very lost as to where to start. How can I calculate a t-value without a mu value?

Any thoughts on this one?
 
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Can't you use the sample mean and sample standard deviation for your t-test?

And the question doesn't ask you, "what is the probability that five randomly selected cartons will all individually fall in this interval?" It asks, "what is the probability that the average weight of five randomly selected cartons will fall in this interval." So no, not the binomial distribution.
 
hgfalling said:
Can't you use the sample mean and sample standard deviation for your t-test?

And the question doesn't ask you, "what is the probability that five randomly selected cartons will all individually fall in this interval?" It asks, "what is the probability that the average weight of five randomly selected cartons will fall in this interval." So no, not the binomial distribution.

Funny. This same exact problem was on the actual exam tonight and I still could not get it. I thought that a "T-text" made use of the fact that the random variable T = (\bar{X} - \mu)/(S/\sqrt{n}) has a t-distribution with \nu = n - 1, right?

Let me ask this so that I know that I am interpreting the question properly: for part (b) I am being asked to find P(40.5 < \bar{X} < 42.4) correct?
 
Yeah. So you let \mu equal your sample mean, S equal your sample standard deviation. Now you can figure out what the t-score of those intervals is, and use the t-distribution to find the probability. For the bundle of 5, you just multiply the size of the t-score interval by \sqrt{5}.

I assume b means "suppose we take another carton. What is the probability that that carton's weight is in that interval?" If the question is supposed to mean "What is the probability that the population mean lies on this interval"...well, that's not an appropriate question to ask.
 
OK. So let's say that I calculate my t-values and I get t1 and t2. I then need to find the probability P(t1 < T < t2). Does this seem like something you would use the "t-tables" for? Or the actual PDF of the t-distribution? I ask because the t-values are tabulated but degrees of freedom AND confidence (alpha). For example, the t-tables look like that below.

Screenshot2010-08-18at12347AM.png
 
Just use the row for 9 degrees of freedom (since you had 10 data points).
 

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