Chapin manufacturing company operates 24 hours a day, five days a week. the workers rotate shifts each week. management is interested in whether there is a difference in the number of units produced when the employees work on various shifts. a sample of five workers is selected and their output recorded on each shift. at the 0.01 significance level, can we conclude there is a difference in the mean production rate by shift or by employee?

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step-by-step explanation:

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560

inch

step-by-step explanation:

yard and mile are too big.