Explain Little’s theorem.
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Little's Law tells us that the average number of customers in the store L, is the effective arrival rate λ, times the average time that a customer spends in the store W, or simply: Assume customers arrive at the rate of 10 per hour and stay an average of 0.5 hour. We can apply Little's Law to systems within the store.
In queueing theory, a discipline within the mathematical theory of probability, Little's result, theorem, lemma, law, or formula is a theorem by John Little which states that the long-term average number L of customers in a stationary system is equal to the long-term average effective arrival rate λ multiplied.
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