Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
In theoretical probability, the probability is determined by an assumed model (for example, the normal distribution). (compare with empirical probability)
Yes.Yes.Yes.Yes.
Yes, probability can be expressed as a percent. It is common to express probabilities as a percentage, which is calculated by multiplying the probability by 100. For example, if the probability of an event is 0.25, it can also be expressed as 25%.
Subjective based on information given
The probability of event A occurring given event B has occurred is an example of conditional probability.
Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
In theoretical probability, the probability is determined by an assumed model (for example, the normal distribution). (compare with empirical probability)
It is a measure of the likelihood of an uncertain outcome. For example, if I roll a fair die, the probability that I will roll a four is 1/6.
Yes.Yes.Yes.Yes.
Yes, probability can be expressed as a percent. It is common to express probabilities as a percentage, which is calculated by multiplying the probability by 100. For example, if the probability of an event is 0.25, it can also be expressed as 25%.
No, it is not. It is a statement. It is false, but that is not relevant.
Subjective based on information given
Empirical means by observation, so empirical probability, or experimental probability, is the probability that is observed in a set of trials. For example, if you flip a coin ten times and get seven heads, your empirical probability is 7 in 10. This is different than the theoretical probability, which for a fair coin is 5 in 10, but that result will only be approximated by the empirical results, and then only with a larger number of trials.
IF probability of rain is X percent then probability of no rain is 100- X percent. For example if prob of rain is 80% prob of no rain is 20%
That depends on many factors. For example, if you are a $1 bill, the probability is quite high, whereas if you are a human being, the probability is quite low.
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.