Determine the probability of exactly 3 arrivals at the checkout in a randomly selected 2-minute period within business hours. ii. Let Y be the variable representing the number of arrivals at the checkout during a 10-minute period. State the type of distribution Y has and it’s parameter/s and use this to determine the probability of less than 8 arrivals at the checkout in a 10-minute period.
Determine the probability of exactly 3 arrivals at the checkout in a randomly selected 2-minute period within business hours. ii. Let Y be the variable representing the number of arrivals at the checkout during a 10-minute period. State the type of distribution Y has and it’s parameter/s and use this to determine the probability of less than 8 arrivals at the checkout in a 10-minute period.
Determine the probability of exactly 3 arrivals at the checkout in a randomly selected 2-minute period within business hours. ii. Let Y be the variable representing the number of arrivals at the checkout during a 10-minute period. State the type of distribution Y has and it’s parameter/s and use this to determine the probability of less than 8 arrivals at the checkout in a 10-minute period.
QUestion 3b. The arrival of customers during business hours at a checkout is thought to follow a Poisson distribution with a mean of 3 arrivals in each 2-minute period. i. Determine the probability of exactly 3 arrivals at the checkout in a randomly selected 2-minute period within business hours. ii. Let Y be the variable representing the number of arrivals at the checkout during a 10-minute period. State the type of distribution Y has and it’s parameter/s and use this to determine the probability of less than 8 arrivals at the checkout in a 10-minute period.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
