Answers To The Question: “What Is Discrete Probability Distribution”
DISCRETE PROBABILITY DISTRIBUTION – This type of distribution contains a random variable that may only assume a limited set of values. A prime example of this would be the Poisson distribution.
This is the number of events that could occur in a given time frame with respect to the average number of times the event plays out in that time period. A prime example of this is in drive throughs who get an average number of customers.
With this, you can analyze the number of customer complaints in a day within a restaurant. Furthermore, the data gathered is due to knowing which customers arrive by themselves during a certain time interval with the number of arrivals depending on the length of the time interval.
Meanwhile, continuous probability distribution has a continuous random variable causing an unlimited set of values. For example, the normal distribution is characterized by a function of two parameters in a bell-shaped curve. With this, you could describe the distribution of the weight of female participants in a competition weigh-in.
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