We have a biased coin and a die such that - when we toss the coin, the probability of a head is 0.54, and - when we roll the die, the probability of obtaining a 5 is 0.1. We do an experiment in which we toss the coin first: - if the coin is a head, we roll the die once, and - if the coin is a tail, we roll the die twice. Given that there was a 5 (at least one) at the end of the experiment, what is the probability that the result of the coin toss was a head? (So, we don't know whether the die was rolled once or twice, but we know that one die roll resulted in a 5.)
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.
We have a biased coin and a die such that
- when we toss the coin, the probability of a head is 0.54, and
- when we roll the die, the probability of obtaining a 5 is 0.1.
We do an experiment in which we toss the coin first:
- if the coin is a head, we roll the die once, and
- if the coin is a tail, we roll the die twice.
Given that there was a 5 (at least one) at the end of the experiment, what is the probability that the result of the coin toss was a head? (So, we don't know whether the die was rolled once or twice, but we know that one die roll resulted in a 5.)
Hint: If we roll this die twice, the probability of obtaining at least one 5 is 0.19.
Round your answer to a number with two decimal digits after the decimal point. For example if your answer is 1/40, which is equal to 0.025, then you should enter 0.03.
(Do NOT use decimal comma; 0,03 would be wrong.)
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