Get Mathematics Success Grade 7 S455 Lesson 34: Uniform And Nonuniform Probability Models Homework Name

In a uniform probability model, every outcome has an equal probability of occurring. Consider the example of rolling a fair die. Rolling such a die is an example of a uniform probability model, since the probability of any one of the six different number values is always the same.

In uniform distribution, organisms are spread out in a fairly regular pattern. This occurs often where individuals must compete for a limiting resource, such as water or light. Desert shrubs and redwood trees grow in a uniform distribution—shrubs compete for water, while redwoods compete for light.

Non-uniform probability: a probability experiment in which all events do not have an equal chance of occurring. For example, when spinning a spinner that is ¾ blue and ¼ red, the spinner is 3 times as likely to land on blue than red.

A good example of a discrete uniform distribution would be the possible outcomes of rolling a 6-sided die. The possible values would be 1, 2, 3, 4, 5, or 6. In this case, each of the six numbers has an equal chance of appearing. Therefore, each time the 6-sided die is thrown, each side has a chance of 1/6.

Non-uniform probability: a probability experiment in which all events do not have an equal chance of occurring. For example, when spinning a spinner that is ¾ blue and ¼ red, the spinner is 3 times as likely to land on blue than red.

probability model: A drawing or chart used to assign probabilities to outcomes of a chance process by examining the nature of the process. The set of all outcomes is called the sample space, and their probabilities sum to 1. event: Any possible outcome of an experiment in probability.

A probability model is a mathematical representation of a random phenomenon. It is defined by its sample space, events within the sample space, and probabilities associated with each event.