Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in in three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation
Bank A (single line): 6.4 6.7 6.8 6.8 71 72 7.4 77 77 78 0
Bank B (individual 42 53 5.9 62 66 77 78 8.5 9 2 9.7
The coefficient of variation for the waiting times at Bank A is %
(Round to one decimal place as needed.)
utoring

maya’s expression will generate the wrong sum because she violated the commutative property.

step-by-step explanation:

it is 570

step-by-step explanation:

the answer to question 1 is -8, 28.

step-by-step explanation:

irst, find the z score of a score of 80. this is given by the formula z = (x-u)/o, where x is the score, u is the mean, and o is the standard deviation. this gives

z = (80-78)/12 = 1/6 = .1667

now, find what percentile a z score of 1/6 correlates to in the normal distribution.

a z score of 1/6 = .1667 is equivalent to the 56.36th percentile of the distribution. so the probability a score is over this is 1-.5636 = .4364

the mean of a sample mean is equal to the original mean. however, the standard deviation of a sample mean is equal to the original standard deviation divided by the square root of n (sample size). so the new standard deviation is 12/sqrt(16) = 3.

the new z score is 80-78/3 = 2/3 = .667. this is equivalent to the 74.86th percentile. so the probability that the mean will be greater than this score is 1-.7486 = .2514.