Probability inequality refers to the concept that in any given situation, the likelihood of an event occurring can range from impossible (probability of 0) to certain (probability of 1).
Yes, probability inequality is a fundamental principle in probability theory and is always true. It is based on the fact that every event has a certain probability of occurring, and therefore, the inequality always holds.
Probability inequality is calculated by dividing the number of desired outcomes by the total number of possible outcomes. This gives a decimal number between 0 and 1, which can then be converted to a percentage to represent the probability of the event occurring.
Probability inequality is closely related to probability distribution, as it is used in the calculation of probabilities for different outcomes in a distribution. In probability distribution, the total probability of all possible outcomes is always equal to 1, which is a manifestation of probability inequality.
No, probability inequality cannot be used to predict the outcome of a single event. It only provides a likelihood or chance of an event occurring, but it does not guarantee the actual outcome. Probability inequality is based on the law of large numbers, which requires a large number of trials to accurately predict the outcome of an event.