It is the result of the experiment. It is the value of the observation.
Empirical and experimental probability are the same thing. They are the outcome of an experiment.
It is the probability distribution function that is relevant for the experiment.
When there is uncertainty about the outcome of a trial or experiment.
when a probability experiment is repeated a large number of times, the relative frequency probability of an outcome will approach its theoretical probability.
It is the result of the experiment. It is the value of the observation.
It is the outcome space.
Empirical and experimental probability are the same thing. They are the outcome of an experiment.
It is the probability distribution function that is relevant for the experiment.
When there is uncertainty about the outcome of a trial or experiment.
A probability distribution describes the likelihood of different outcomes in a random experiment. It shows the possible values of a random variable along with the probability of each value occurring. Different probability distributions (such as uniform, normal, and binomial) are used to model various types of random events.
when a probability experiment is repeated a large number of times, the relative frequency probability of an outcome will approach its theoretical probability.
A probability distribution links the probability of an outcome in a statistical experiment with the chances of it happening. Probability distributions are often used in statistical analysis.
Probability is the study of events whose outcome is not certain. If the experiment or trial is not random, and the experimenter conducts it in such a way that a certain outcome is obtained, then there is no probability involved: the question is deterministic.
A probability distribution links the probability of an outcome in a statistical experiment with the chances of it happening. Probability distributions are often used in statistical analysis.
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In a probability experiment, various outcomes are possible and the experiment is conducted to observe which outcomes occur. The experiment is performed repeatedly to collect data and determine the likelihood or probability of each outcome happening. The results of the experiment are analyzed to understand and make predictions about future occurrences of the event.