Discrete Distribution/Geometric Probability

In summary, the conversation discusses the distribution of miniature animals in Red Rose tea boxes and the average number of boxes a customer would need to purchase to obtain a complete collection. It also mentions the previous use of figurines in the Noah's Ark Animal Series and the potential number of boxes needed to obtain the complete collection in that scenario. A potential solution for part a) is presented, but there are other solutions available online. The "coupon collector's problem" and the n * Hn method are referenced as potential ways to approach the problem.
  • #1
trojansc82
60
0

Homework Statement



In 2006, Red Rose tea randomly began placing 1 of 10 English porcelain miniature animals in a 100-bag box of the tea, selecting from 10 "Pet Shop Friends."

a) On the average, how many boxes of tea must be purchased by a customer to obtain a complete collection consisting of 10 different animals?

b) If the customer uses one tea bag per day, how long can a customer expect to take, on the average, to obtain a complete collection?

c) From 2002 to 2006, the figurines were part of the Noah's Ark Animal Series, which contains 15 pieces. Assume again that these figurines were selected randomly. How many boxes of tea would have had to be purchased, on the average, to obtain the complete collection?

Homework Equations



μ = r * (1/p), σ2= q/p2, σ = (1-q)/p

The Attempt at a Solution



Answer for part a) = 7381/252

I'm not sure how to set this up. There are solutions to the problem but they seem extremely long and did not follow anything from the text.
 
Last edited:
Physics news on Phys.org
  • #2
Google the "coupon collector's problem".

RGV
 
  • #3
Ray Vickson said:
Google the "coupon collector's problem".

RGV

Thanks.

Looks like the best way to going about these problems are using the n * Hn method (number of items times the Harmonic series)
 

1. What is a discrete distribution?

A discrete distribution is a statistical distribution that represents the probability of each possible outcome of a discrete random variable. It is used to model situations where the variable can only take on a limited number of values, such as the number of heads in a series of coin flips.

2. What is geometric probability?

Geometric probability is a type of discrete probability in which the outcome of interest is the number of trials or attempts it takes to achieve a specific event. It is often used in situations where there is a constant probability of success for each trial, such as rolling a die and looking for a specific number.

3. How is geometric probability calculated?

Geometric probability can be calculated using the formula P(n) = (1-p)^(n-1) * p, where P(n) is the probability of the event happening on the nth trial, p is the probability of success on each trial, and n is the number of trials. This formula assumes independence between trials.

4. What is the relationship between geometric probability and binomial distribution?

Geometric probability is a special case of the binomial distribution, where the number of trials (n) is fixed at 1. In other words, geometric probability can be seen as a one-trial binomial experiment.

5. What are some real-world applications of geometric probability?

Geometric probability has numerous applications in real-world scenarios, such as estimating the number of attempts it takes to win a game of chance, predicting the number of attempts it takes to reach a certain level of proficiency in a skill, or determining the expected number of events in a series of trials with a constant probability of success.

Similar threads

  • Calculus and Beyond Homework Help
Replies
1
Views
5K
  • Math Proof Training and Practice
4
Replies
116
Views
15K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
2K
  • Math Proof Training and Practice
2
Replies
67
Views
10K
  • Biology and Chemistry Homework Help
Replies
2
Views
4K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
1
Views
2K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
2
Views
2K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
2
Views
3K
Back
Top