law of large numbers Antonyms

No Synonyms and anytonyms found

Meaning of law of large numbers

Wordnet

law of large numbers (n)

(statistics) law stating that a large number of items taken at random from a population will (on the average) have the population statistics

law of large numbers Sentence Examples

  1. In statistics, the law of large numbers is a fundamental theorem that states that as the sample size increases, the sample mean converges to the population mean.
  2. The law of large numbers is based on the assumption that the observations are independent and identically distributed (i.i.d.).
  3. The law of large numbers provides a theoretical foundation for statistical inference, which is the process of making inferences about a population based on a sample.
  4. The law of large numbers is often used to justify the use of sample surveys to estimate population parameters, such as the mean or proportion of a certain characteristic.
  5. The law of large numbers can also be used to justify the use of confidence intervals to estimate population parameters.
  6. The law of large numbers is a powerful tool for statistical analysis, but it is important to note that it only applies to random samples.
  7. If the sample is not random, then the law of large numbers does not apply and the sample mean may not converge to the population mean.
  8. The law of large numbers is a fundamental theorem of probability theory that has important implications for statistical inference.
  9. The law of large numbers states that as the sample size increases, the sample mean will converge to the population mean.
  10. The law of large numbers is a powerful tool for statisticians, as it allows them to make inferences about a population based on a sample.

FAQs About the word law of large numbers

(statistics) law stating that a large number of items taken at random from a population will (on the average) have the population statistics

No synonyms found.

No antonyms found.

In statistics, the law of large numbers is a fundamental theorem that states that as the sample size increases, the sample mean converges to the population mean.

The law of large numbers is based on the assumption that the observations are independent and identically distributed (i.i.d.).

The law of large numbers provides a theoretical foundation for statistical inference, which is the process of making inferences about a population based on a sample.

The law of large numbers is often used to justify the use of sample surveys to estimate population parameters, such as the mean or proportion of a certain characteristic.