1. A coin is tossed twice. Let A=event the 1st toss is head, and B=event the 2nd toss is head. Find P(B/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.
1. A coin is tossed twice. Let A=
2. A coin is tossed twice. Let A=event with exactly 2 heads, and B=event at least one head appears. Find P(B/A’).
3. An ENGDATA class for engineers consists of 5 industrial, 10 electronics, 12 mechanical, 10 electrical, and 8 civil engineering students. If a person is randomly selected by the instructor to answer a question, find the probability that the student chosen is:
a. a civil engineering student
b. an electronics engineering student
c.a mechanical or electrical engineering student
4. Four fair coins are tossed. Find the probability of getting the following:
a. exactly 3 heads
b. at least 2 tails
c. at most 3 heads
5. The probability that a regularly scheduled flight departs on time is P(D) = 0.83, the probability that it arrives on time is P(A) = 0.82; and the probability that it departs and arrives on time is P(DA) = 0.78. Find the probability ∩that a plane:
a. arrives on time given that it departed on time
b. departed on time given that it has arrived on time
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