Choosing the Right Probability Type for a Special Marketing Program

In summary, for the given scenario, the binomial probability equation would be used to show future clients their probability of success, with a 100% chance of success.
  • #1
azdick
1
0
I am not sure which type of probability equation to use for the following problem:
A business has represented 3600 clients over a 20 year period with a 100% success ratio. The clients use a Special marketing program that increases their income without costing them money. The program uses a group package of 5 Root disciplines and a package of 6 Governing disciplines, when grouped together they form the marketing program. Which probability equation do I use to show future clients what their probability of success will be? I need to beable to write the equation out completely.

Any help would be great. Even better would be the equation in its complete form.
Thank you for any help you may render. AZDick
 
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  • #2
The probability equation that would be used in this case is the binomial probability equation. The binomial probability equation is used to calculate the probability of a success or failure outcome in a series of independent events. It is written as P(x) = (n!/[x!(n-x)!])*p^x*(1-p)^(n-x), where n is the number of independent trials, x is the number of successes, and p is the probability of success in a single trial. In this case, n = 3600 (the number of clients over the 20 year period), x = 3600 (the number of successful outcomes), and p = 1 (the 100% success ratio). Therefore, the equation can be written as P(x) = (3600!/(3600!*0!))*1^3600*(1-1)^(3600-3600), which simplifies to P(x) = 1.
 

1. What is the difference between discrete and continuous probability?

Discrete probability is used when the outcomes are countable and finite, such as rolling a dice. Continuous probability is used when the outcomes can take on any value within a range, such as measuring the height of a person.

2. When should I use the binomial distribution?

The binomial distribution is used when there are only two possible outcomes, such as success or failure, and the probability of success remains constant for each trial.

3. What is the difference between independent and dependent events?

Independent events are events where the outcome of one event does not affect the outcome of the other event. Dependent events are events where the outcome of one event does affect the outcome of the other event.

4. How do I calculate the probability of an event?

To calculate the probability of an event, you need to divide the number of favorable outcomes by the total number of possible outcomes. This is known as the probability formula: P(event) = number of favorable outcomes / total number of possible outcomes.

5. What are the different types of probability distributions?

There are many types of probability distributions, including the normal distribution, poisson distribution, exponential distribution, and uniform distribution. Each distribution is used for different types of data and has its own unique characteristics and formulas.

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