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tmt1
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Given $P(PH | H) = 0.8$ and $P(PH | \lnot H) = 0.3 $ and $P(H) = 0.1$ how can I derive $P(PH)$ without resorting to a joint distribution table?
tmt said:Given $P(PH | H) = 0.8$ and $P(PH | \lnot H) = 0.3 $ and $P(H) = 0.1$ how can I derive $P(PH)$ without resorting to a joint distribution table?
Probability is a measure of the likelihood of an event occurring. It is expressed as a number between 0 and 1, with 0 representing impossibility and 1 representing certainty.
The formula for probability is: P(E) = Number of favorable outcomes / Total number of possible outcomes. This means that the probability of an event is equal to the number of ways that event can occur divided by the total number of possible outcomes.
Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual data from experiments or observations and may vary from the theoretical probability.
The larger the sample size, the more accurate the probability will be. This is because a larger sample size reduces the effects of chance and random variations in the data.
Probability is used in many real-life situations, such as predicting the outcome of sports games, weather forecasting, and risk assessment in insurance and finance. It is also used in scientific research to determine the likelihood of certain outcomes and to make informed decisions based on evidence.