A lot of people, 221 to be exact, came to the big neighbourhood cookout party, 4. (4 ana urought some food and drinks. The social function had passed quite enjoyably, up until a day later when several people who have been to the party got sick with stomach flu. Since the the sicknesses are just after the event, you suspect there might have been something in the party that caused this, however not everyone who went got sick. You, the local neighbourhood statistician, are interested in what happened. You go and ask the sick people what they had ate, and one thing almost all sick people had in common was the egg salad. You think you might be onto something here, and call everyone who attended to learn if they had the egg salad or not and whether they had the stomach flu or not. The data are as follows. At alpha .05, can we say there is enough evidence to conclude that the egg salad is the culprit? Had the egg Didn't have the egg salad salad sick 33 9. 172 non-sick
Compound Probability
Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.
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Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.
Conditional Probability
By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.
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