You do not need to but it can help to identify all the possible outcomes so that you don't miss any out (by mistake).
A probability is fair if there is no bias in any of the possible outcomes. Said another way, all of the possible outcomes in a fair distribution have an equal probability.
If the question is about 4 successful outcomes out of 16 trials, when the probability of success in any single trial is 0.20 and independent of the outcomes of other trials, then the answer is, yes, the binomial experiment can be used.
A probability indicates the likely-hood that a particular event occurs out of a set number of observations or measurements. A probability distribution allows relative comparison of probability of an event with any other possible event.
The theoretical probability of an event is the probability that is calculated on theoretical considerations. This normally entails modelling the experiment and then employing the laws of science to determine the event space and the probabilities of the outcomes. For example, suppose you wish to determine the theoretical probability of getting the number 5 when you roll a normal die. There are 6 possible outcomes. If the die is fair then each of these outcomes is equally likely. Therefore the probability of any particular number - for example, 5 - is 1/6.
You do not need to but it can help to identify all the possible outcomes so that you don't miss any out (by mistake).
A probability is fair if there is no bias in any of the possible outcomes. Said another way, all of the possible outcomes in a fair distribution have an equal probability.
The experiment is not defined so it is very difficult to answer the question in any meaningful way.
If the question is about 4 successful outcomes out of 16 trials, when the probability of success in any single trial is 0.20 and independent of the outcomes of other trials, then the answer is, yes, the binomial experiment can be used.
A probability indicates the likely-hood that a particular event occurs out of a set number of observations or measurements. A probability distribution allows relative comparison of probability of an event with any other possible event.
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.
The theoretical probability of an event is the probability that is calculated on theoretical considerations. This normally entails modelling the experiment and then employing the laws of science to determine the event space and the probabilities of the outcomes. For example, suppose you wish to determine the theoretical probability of getting the number 5 when you roll a normal die. There are 6 possible outcomes. If the die is fair then each of these outcomes is equally likely. Therefore the probability of any particular number - for example, 5 - is 1/6.
The answer is probability.
Independent variable is what you, the experimenter, change or enacts in order to do your experiment
an outcome
The greatest possible remainder for 76 is to be divided by 2 leaving the result of 38. Thank you!
The probability of any event lies in the interval [0, 1]. The sum (or integral) over all possible outcomes is 1.