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You cannot determine the number of times an event will occur - unless its probability is 0 or 1.

In other cases, you can estimate the expected number of times it will occur. If the outcome of each trial is independent, then the expected number is the probability of the event occurring in one trial multiplied by the number of trials.

If the outcome of each trial is not independent then you need to develop a model that takes account of the dependencies.

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0If the outcomes of repeated experiments are independent then, if you carry out the experiment n times and the probability of the event in each trial is p, then you would expect the event to occur n*p times.

If an action is repeated n times and a certain event occurred b times then the ratio b/n is called the relative frequency.Where as theoretical probability is used to determine the number of ways that the event can occur if an experiment is repeated a large number of times.

Frequency determines the number of times an event is repeated in a unit time. Event could be anything in general.

Relative frequency approximation is conducting experiments and counting the number of times the event occurs divided by the total number of events. The classical approach is determine the number of ways the event can occur divided by the total number of events.

To determine probability you do Number of Times the Desired Event will occur -------------------------------------------------------- Number of Possible Outcomes In this case, there are 52 cards in a deck (assuming no jokers). 1/4th of those cards are spades (This gives us 13 spades) so Number of Times the Desired Event will occur = 13 Number of Possible outcomes = 52 You will draw a spade 13 out of 52 times. (13/52) Or reduced - You will draw a spade 1 out of 4 times (1/4)

Probability = number of times an event is expected to happen / number of opportunities for an event to happen It can be expressed as a percentage or a fraction.

If one event can occur in ''m'' ways and another event can occur in ''n'' ways, then the number of ways that ''both'' events can occur together is ''m *n.'' This principle can be extended to three or more events. P.S. - This * in ''m*n'' means multiplication or times.

Odds of A to B in favour of an event states that for every A times an event occurs, the event does not occur B times. So, out of (A+B) trials, A are favourable to the event. that is, the probability of A is A/(A+B).

four out of seven times

You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.

Pressure sensors are used to determine times. In addition, video cameras recording at 2,000 frames per second are used to accurately determine winners in the event of a very close "photo finish"

15 trials: 3 times 40 trials: 8 times 75 trials: 15 times 120 trials: 24 times But don't bet on it.

experimental probability

The frequency of the event over that time period.

If the odds against are 8 to 1, that means on the average you expect it to not happen 8 out of 9 times, and happen the other 1 time out of 9. 1 out of 9 is 1/9 = 11.1% probability that the event willoccur.

The number of times an item, number, or event occurs in a set of data.

You need to know the probability of the event in question. Then the expected frequency for that event occurring is that probability times the number of times the experiment was repeated.

The relative frequency of an event, from repeated trials, is the number of times the event occurs as a proportion of the total number of trials - provided that the trials are independent.

The probability of the event occurring.

It is a number expressing the likelihood of the occurrence of a given event, especially a fraction expressing how many times the event will happen in a given number of tests or experiments.

The number 7 occurs once. The digit 7 occurs 20 times.

To me, the theoretical probability is what is termed the classical probability. This says the probability is the number of ways an event can occur divided by the number of possible events. Forexample, flip a coin. The theoretical probability for heads is 1/2. However, flip a coin 10 times and you will probably not get 5/10 (or 1/2). Doing the actual experiment to determine the probability is called relative frequency approximation.

A table that lists items together according to the number of times that item occurs

The number of times it does.

Frequency is the number of times a repeating event occurs in a period of time. For example 60Hz or 60 times per second means a repeating event occurred 60 times in 1 second period.

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