Therefore, it can only approximately reflect the probability of an event. Probability is a theoretical value, which is determined by the nature of the event, and can only take a unique value, which can accurately reflect the possibility of the event.
It's different.
Probability:
Also known as "probability", it reflects the possibility of random events. Random events refer to events that may or may not occur under the same conditions.
Frequency:
Under the same conditions, n experiments were carried out. In these n experiments, the frequency m of event A is called the frequency of event A. ..
The ratio m/n is called the frequency of event A, and is defined as the ratio of the number of occurrences of each object to the total number of occurrences.
The ratio of the frequency of a population to the sample size is also called the frequency of this population. With frequency (or frequency), we can know the distribution of numbers.
Extended data:
1. With the increase of repetition times n, the frequency f subscript n(A) tends to be stable and reaches a certain constant, that is, the probability of event A. This "frequency stability" is usually called statistical regularity.
2. Frequency has the following properties:
(1) Nonnegativity: 0 is less than or equal to fn(A) is less than or equal to 1.
(2) Normality: fn (ω) = 1 (Note: ω represents the sample space)
(3) additivity [1]
3. Frequency is not equal to probability. According to Bernoulli's theorem of large numbers, when n tends to infinity, the frequency fn(A) approaches the probability P(A) in a certain sense.
References:
Baidu Encyclopedia-Frequency
References:
Baidu encyclopedia-probability