Sagedustõenäosus

Sagedustõenäosus refers to the empirical probability of an event occurring, derived from observing its frequency in a series of trials. It is calculated by dividing the number of times an event has occurred by the total number of trials conducted. This concept is fundamental in statistics and data analysis, providing a practical way to estimate the likelihood of future events based on past observations.

Unlike theoretical probability, which is based on idealized models and assumptions about equally likely outcomes, sagedustõenäosus is grounded in real-world data. For example, if a coin is flipped 100 times and lands on heads 53 times, the sagedustõenäosus of getting heads is 53/100 or 0.53. This value approaches the theoretical probability of 0.5 as the number of trials increases, a principle known as the law of large numbers.

The accuracy of sagedustõenäosus is directly proportional to the number of observations. A larger sample size generally leads to a more reliable estimate of the true probability. This method is widely used in various fields, including scientific research, market analysis, and quality control, to make informed predictions and decisions based on observed data. It is a cornerstone of inferential statistics, allowing us to draw conclusions about populations from sample data.