How Do You Calculate Probabilities in a Normal Distribution Scenario?

Click For Summary
SUMMARY

This discussion focuses on calculating probabilities in a normal distribution scenario involving wine bottle volumes and cask capacities. The amount of wine in a bottle is modeled as N(1.05L, 0.0004L²), and the cask volume as N(22L, 0.16L²). The probability that a bottle contains less than 1L is calculated using the Z-score formula, yielding a result of 0.0062. For the second part, participants discuss summing the distributions of 20 independent wine bottles and determining the probability that their total volume fits within a specified confidence interval of the cask.

PREREQUISITES
  • Understanding of normal distribution and Z-scores
  • Familiarity with the Central Limit Theorem
  • Knowledge of confidence intervals and their calculations
  • Ability to apply statistical formulas for summing distributions
NEXT STEPS
  • Learn how to calculate Z-scores for normal distributions
  • Study the Central Limit Theorem and its implications for independent random variables
  • Explore methods for calculating confidence intervals for normally distributed data
  • Practice summing independent normal distributions using the formula ƩXi ~ N(nμ, nδ²)
USEFUL FOR

Students preparing for statistics exams, data analysts, and anyone interested in applying normal distribution concepts to real-world scenarios involving volume and capacity calculations.

MiamiThrice
Messages
5
Reaction score
0
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.
 
Physics news on Phys.org
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?
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
9
Views
3K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
8
Views
3K