Identify the following events as mutually exclusive, independent, dependent or none of these things. You can select more than one option, if appropriate. a) You and a randomly selected student from your class both earn an A in this course. Independent Dependent Mutually Exclusive None of these b) You and your class partner both earn an A in this course. Independent Dependent Mutually Exclusive None of these c) You earn an A in this course and you earn a B in this course. Independent Dependent Mutually Exclusive None of these d) Explain your reasoning for all three of your answers.

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A:

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A: Let us have events/sets A and B such that P(A)=0.3 and P(B)=0.9.

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A: It is needed to define whether the event is mutually exclusive or collectively exhaustive

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A: One dice rolled

Q: 98

A: Additional comment: dear remember formula of P(A or B) = p(A)+p(B) - p(A and B)Rest you can find…

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A: Please find the explanation below. Thank you.

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A: If the two events do not occur same time then it is called as mutually exclusive events.

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A: Answer: For the given data,

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A:

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Q: None

A: Nowgiven thatP(A)=0.5P(B)=0.3P(A or B)=0.8We know thatP(A or B)=P(A)+P(B)-P(A and B)0.8=0.5+0.3-P(A…

Addition Rule of Probability

It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.

Expected Value

When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).

Probability Distributions

Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.

Basic Probability

The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.