Identifying if an experiment is a binomial experiment

In summary: Hence, this example does not meet the requirements of a binomial experiment. In summary, the example of selecting three cell phones from a box of 20, with two of them being defective, and determining if they are good or defective, is not a binomial experiment because the probabilities of the outcomes are not constant and the trials are not independent.
  • #1
ciline
1
0
There is an example :
A box contains 20 cell phones, and two of them are
defective. Three cell phones are randomly selected from this
box and inspected to determine whether each of them is good
or defective. Is this experiment a binomial experiment?
AND the answer is : NOT a binomial experiment.

if I know that:
A binomial experiment must satisfy the following four
conditions:
1. There are n identical trials.
2. Each trail has only two possible outcomes.
3. The probabilities of the two outcomes remain constant.
4. The trials are independent.


My question is :
1- what do the last two points ( conditions ) mean ?
2- why we consider the example above not to be a binomial experiment ?
 
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  • #2


1. The third condition means that the probability of success and failure remain the same for each trial. In other words, the probability of getting a good phone and a defective phone should be the same for each of the three trials. The fourth condition means that the outcome of one trial does not affect the outcome of the other trials. In this case, the selection of one phone should not influence the selection of the other phones.

2. The example given is not a binomial experiment because the probabilities of getting a good or defective phone are not constant for each trial. In the first trial, there is a 18/20 (90%) chance of getting a good phone and a 2/20 (10%) chance of getting a defective phone. However, in the second trial, the probabilities change because there are now only 19 phones left in the box, with 17 good phones and 2 defective phones. Similarly, in the third trial, the probabilities change again because there are now only 18 phones left in the box. Therefore, the probabilities of the two outcomes are not constant for each trial, making it not a binomial experiment. Additionally, the trials are not independent since the outcome of one trial affects the probabilities of the other trials.
 

1. What is a binomial experiment?

A binomial experiment is a type of statistical experiment in which there are only two possible outcomes, often referred to as "success" and "failure". These outcomes are independent of each other and the probability of success remains constant for each trial.

2. What are the characteristics of a binomial experiment?

There are four main characteristics of a binomial experiment: 1) there are only two possible outcomes, 2) the number of trials is fixed, 3) the trials are independent of each other, and 4) the probability of success remains constant for each trial.

3. How do you determine if an experiment is a binomial experiment?

To determine if an experiment is a binomial experiment, you must check if it meets the four characteristics: 1) there are only two possible outcomes, 2) the number of trials is fixed, 3) the trials are independent of each other, and 4) the probability of success remains constant for each trial. If all four characteristics are met, then the experiment can be considered a binomial experiment.

4. What is the importance of identifying a binomial experiment?

Identifying a binomial experiment is important because it allows for the use of specific statistical tests and formulas that are designed for this type of experiment. It also helps in understanding the nature of the data and making accurate predictions based on the results.

5. Can a binomial experiment have more than two outcomes?

No, a binomial experiment can only have two possible outcomes. If there are more than two outcomes, then it is not considered a binomial experiment. However, there can be multiple trials in a binomial experiment, each with two possible outcomes.

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