Suppose that we randomly choose 100 Skittles before they are packaged and pick 27 red candies, 19 orange candies, 26 yellow candies, 17 green candies, and 11 purple candies. For the purposes of this exercise, assume that the 100 Skittles chosen are representative of all Skittles produced. Does this sample data provide convincing evidence that the proportion of Skittles that are red is more than 0.2? Test the appropriate hypotheses using a .05 significance level, round your test statistic to the appropriate number of decimal places to use the correct chart, and round everything else to 4 decimal places. Follow the seven step process we learned in Algorithm 10.9.
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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