Probability

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P(A) + P(not A) = 1

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This statement is true. It reflects the fundamental principle of probability that the sum of the probability of an event and the probability of its complement equals 1.

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A measurement of the likelihood of an event or events occurring on a scale of 0 to 1 is called -

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Probability. It quantifies how likely an event is to happen, with 0 meaning impossible and 1 meaning certain.

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A set of all possible outcomes is known as -

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A sample space. It includes every possible result of a probability experiment.

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The number of ways an event can occur divided by the total number of outcomes is known as -

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Theoretical probability. It is calculated using the formula: P(Event) = Number of favorable outcomes / Total number of outcomes.

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The more number of trials conducted in an experiment and the more data collected, the closer an event's experimental probability will align with its theoretical probability.

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This statement is true. This concept is known as the Law of Large Numbers.

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What is the probability of rolling a 3 on a standard six-sided die?

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1/6. There is one favorable outcome (rolling a 3) out of six possible outcomes.

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If the probability of an event A is 0.2, what is the probability of not A?

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0.8. P(not A) = 1 - P(A) = 1 - 0.2.

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What is an event in probability?

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An event is a specific outcome or a set of outcomes from a probability experiment.

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What does it mean if an event is independent?

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Two events are independent if the occurrence of one does not affect the occurrence of the other.

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What is the complement of an event?

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The complement of an event A includes all outcomes in the sample space that are not in A.