If A and B are independent events, with P(A) = 0.30 and P(B) = 0.50, then P(B|A) is 0.10.*

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False

If an experiment consists of five outcomes, with P(A1) = 0.10, P(A2) = 0.10, P(A3) = 0.30, and P(A4) = 0.25, then P(A5) = 0.30:*

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False

If you roll a fair die 60 times, you should expect an odd number to appear 30 out of the 60 rolls*

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False

Two events A and B are said to be independent if P(A and B) = P(A) + P(B).*

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False

The classical approach to assigning probability can be applied for experiments that have equally likely outcomes.*

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False

If an event does not occur, then its complement must occur.*

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False

Two events A and B are said to be independent if P(A|B) = P(A).*

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False

Based on past exam results in "Statistics-I" you estimate that there is an 83% chance of passing the exam. This is an example of the subjective approach to probability.*

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False

When events are mutually exclusive, they can happen at the same time.*

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False

When a fair die is rolled once, the sample space consists of the following six outcomes: 1, 2, 3, 4, 5, 6. Given this sample space, the event that an "even number" will appear is a simple event.*

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False

The probability of the union of two mutually exclusive events A and B is P(A U B) = P(A) + P(B).*

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False

When it is not reasonable to use the classical approach to assigning probabilities to the outcomes of an experiment, and there is no history of the outcomes, we have no alternative but to employ the subjective approach.*

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False

Assume that A and B are independent events, with P(A) = 0.30 and P(B) = 0.50. The probability that both events will occur simultaneously is 0.80.*

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False

Two events are said to be independent when the occurrence of one event has an effect on the probability that another will occur.*

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False

If the event of interest is A, the probability that A will not occur is the complement of A.*

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False

Given two events A and B, and that P(A) = 0.9 and P(B|A) = 0.5, then P(A and B) = 0.45.*

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False

An experiment consists of tossing three fair (unbiased) coins simultaneously. This experiment has eight possible outcomes.*

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False

Two events A and B are said to mutually exclusive if P(A) = P(B).*

True

False

Jim and John go to a coffee shop during their lunch break and toss a coin to see who will pay. The probability that John will pay three days in a row is 0.125.*

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False

Probability refers to a number between 0 and 1 (inclusive), which expresses the chance that an event will occur.*

True

False