How Do You Calculate Probabilities in a Normal Distribution Scenario?

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Discussion Overview

The discussion revolves around calculating probabilities in a normal distribution scenario, specifically focusing on a problem involving the amount of wine in bottles and the capacity of casks. Participants explore methods to determine the probability that a bottle contains less than a specified amount and the probability that the total volume of multiple bottles fits within a randomly chosen cask. The scope includes mathematical reasoning and application of statistical concepts related to normal distributions.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant presents a problem involving the amount of wine in a bottle modeled by a normal distribution and seeks help with calculating probabilities.
  • Another participant cautions about the implications of the normal distribution including negative values, emphasizing the need for a positive volume of wine.
  • There is a suggestion to calculate the distribution for the total volume of 20 independent bottles using the formula for the sum of normal distributions.
  • Participants discuss the need to establish a confidence interval for the cask's volume and how to relate it to the distribution of the wine bottles.
  • Clarification is sought on how to apply the normal distribution for the cask volume in conjunction with the distribution of the wine bottles.

Areas of Agreement / Disagreement

Participants generally agree on the approach of using the sum of normal distributions for the bottles, but there is uncertainty about the specifics of calculating the probabilities and the confidence intervals related to the cask. The discussion remains unresolved regarding the exact calculations needed.

Contextual Notes

There are limitations in the discussion regarding the assumptions made about the distributions, the need for specifying confidence intervals, and the application of statistical rules. The participants do not fully resolve how to connect the distributions of the bottles and the cask.

MiamiThrice
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Hello all,

While studying for exam I came across this practise problem which is giving me some trouble.

The amount , A, of wine in a bottle ~ N(1.05L, .0004L2).

a)The bottle is labelled as containing 1L. What is the probability a bottle contains less than 1L?
b) Casks are available which have a volume, V, which is N(22L,.16L2). What is the probability the contents of 20 randomly chosen bottles will fit inside a randomly chosen cask?

For (a), I simply did P(z < 1-1.05 / 0.02), and the correct answer being 0.0062.

However I am unsure how to approach (b). At first I thought i could just use the mean of the cask size (22L) and do P(Z<= 21-22 / 0.4), but it didnt work out.

Any help is appreciated thanks.
 
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Hey MiamiThrice.

You have to be a little careful with this question because you can only have a positive amount of wine (in terms of litres) and the normal distribution is defined over the entire real line which includes all negative values, so just keep that in mind.

For the second one, you are interested in 20 bottles being less than or equal to the free room in the cask. A 95% interval for the cask can be calculated.

From the above you can calculate the distribution for 20 wine bottles (each bottle is independent) using rules for adding normal distributions together, and then calculate the probability that corresponds with your cask confidence interval.
 
Hey Chiro,

I'm not completely sure what you mean.

I have the following formula:
ƩXi ~ N(nμ, nδ2).

Should I use that to sum of the 20 wines? (n = 20, μ and δ given)

I'm unsure how to use this together with the normal distrubition for the volume of the cask.
 
MiamiThrice said:
Hey Chiro,

I'm not completely sure what you mean.

I have the following formula:
ƩXi ~ N(nμ, nδ2).

Should I use that to sum of the 20 wines? (n = 20, μ and δ given)

I'm unsure how to use this together with the normal distrubition for the volume of the cask.

Yes that is the right idea.

You have a distribution for 20 bottles of wine using formula above.

Now you need to calculate the probability that lies within your casket interval.

Your casket interval is given to you, but you need to specify a confidence interval. Most staistical applications use 95%, so you need to calculate the 95% interval for the casket which is (a,b) [a being the lower bound, be being the upper bound] where P(a < Y < b) = 0.95 where the probability refers to casket distribution.

Now given (a,b) you need to find out P(a < X < b) where X is the distribution for the 20 wines in litres.

Does this make sense to you?
 

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