How Does Faulty Item Compensation Affect Wholesaler Profit?

  • Thread starter MichaelShane
  • Start date
In summary, the conversation discusses a scenario where a wholesaler purchases items at £25 each and sells them to retailers in batches of 8 at £36 per item. It is also mentioned that on average, 25 items out of a thousand are faulty. To solve this probability problem, the first step is to construct a probability distribution table for the number of faulty items in a batch of 8. The table should show all probability values rounded off to 5 decimal places. The conversation then introduces the condition that if any faulty item is found in a batch, the wholesaler promises to provide 2 extra items to the retailer at no additional cost. This means that the retailer will be responsible for the entire batch. The task is then
  • #1
MichaelShane
2
0
Quesiton: A wholesalers buys items at £25 each. The wholesalers sells this in batches of 8 to retailers at £36 per item. It is know that, on average , 25 items in a thousand are faulty.

(A) Construct the probability distribution table for the number of faulty items in a batch of 8 items. All probability values must be rounded off to 5 decimal places.

(B) For any faulty item in a batch the wholesaler promises to give 2 extra items, free of further charge, to the retailer who then accepts full responsibility for the batch.
Extend your table of part (A) to indicate the wholesalers profit for each possible value of the number of faulty items in a batch of 8. Extend your table further to calculate the wholesalers expected profit on a batch of 8 items.

Kindly help me in solving the above probability problems, help will be highly appreciated.

Thank you very much in advance.
 
Physics news on Phys.org
  • #2
It is not an advance question of probability. Are you familier with univariate probability distributions like binomial distribution? Please show your attempt of solution to get further help.
 
  • #3


(A) Probability distribution table for number of faulty items in a batch of 8 items:

| Number of Faulty Items | Probability |
|------------------------|-------------|
| 0 | 0.9728 |
| 1 | 0.0256 |
| 2 | 0.0016 |
| 3 | 0.0001 |
| 4 | 0 |
| 5 | 0 |
| 6 | 0 |
| 7 | 0 |
| 8 | 0 |

(B) Table showing wholesaler profit for each possible value of faulty items in a batch of 8:

| Number of Faulty Items | Wholesaler Profit |
|------------------------|--------------------|
| 0 | £88 |
| 1 | £62 |
| 2 | £36 |
| 3 | £10 |
| 4 | £-16 |
| 5 | £-42 |
| 6 | £-68 |
| 7 | £-94 |
| 8 | £-120 |

To calculate the expected profit, we need to multiply the profit for each possible value of faulty items by its corresponding probability and then add them all together.

Expected profit = (0.9728 x £88) + (0.0256 x £62) + (0.0016 x £36) + (0.0001 x £10) + (0 x £-16) + (0 x £-42) + (0 x £-68) + (0 x £-94) + (0 x £-120)

= £85.856

Therefore, the expected profit for a batch of 8 items is £85.856.
 

FAQ: How Does Faulty Item Compensation Affect Wholesaler Profit?

What is advance probability?

Advance probability is a branch of mathematics that deals with the likelihood of events occurring based on previous knowledge or data. It involves using mathematical models and methods to analyze and predict the outcomes of uncertain events.

What are some common applications of advance probability?

Advance probability has many applications in various fields such as finance, economics, engineering, medicine, and more. It is used to make predictions and informed decisions in areas such as risk management, stock market analysis, weather forecasting, medical diagnosis, and many others.

What are the key concepts in advance probability?

The key concepts in advance probability include random variables, probability distributions, conditional probability, independence, Bayes' theorem, and statistical inference. These concepts are used to quantify and analyze the likelihood of events and make predictions based on data.

What are some common techniques used in advance probability?

Some common techniques used in advance probability include basic counting principles, Bayes' theorem, Markov chains, Monte Carlo simulations, and hypothesis testing. These techniques are used to analyze and make predictions about uncertain events based on data and mathematical models.

How can advance probability be useful in real-world situations?

Advance probability can be useful in real-world situations by providing a framework for decision making and risk assessment. By analyzing and quantifying the likelihood of events, it can help individuals and organizations make informed decisions and mitigate potential risks. It also allows for more accurate predictions and forecasting, which can be beneficial in various industries and fields.

Similar threads

Back
Top