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The probability of an event is defined to be the ratio of the number of cases favourable to the event - i.e. the number of outcomes in the subset of the sample space defining the event - to the total number of cases.
True
Probability can be negative or positive and always range between 0 and 1.
False (never negative)
Probability aids in determining the effectiveness of treatments and understanding the risks of diseases.
True
An event is any fact, which may occur as a result of an experiment with random outcome or may not.
True
The two events “it rained on Monday” and “it did not rain on Monday” are independent events.
False (mutually exclusive)
The greater the probability, the less likely the event is to occur.
False (more)
The set of all the possible experiments is called the sample space.
false
Probability is the numerical assessment of likelihood on a scale from 0 (impossibility) to 1 (absolute certainty).
True
Probability theory is the branch of mathematics that deals with probability.
True
An event that has produced the desired result or unexpected event is called a favourable outcome.
False (or expected)
