The seaboard shipping company has a warehouse terminal in spartanburg, south carolina. the capacity of each terminal dock is 3 trucks. as trucks enter the terminal, the drivers receive numbers, and when one of the three dock spaces becomes available, the truck with the lowest number enters the vacant dock. truck arrivals are poisson distributed, and the unloading and loading times (service times) are exponentially distributed. the average arrival rate at the terminal is 5 trucks per hour, and the average service rate per dock is 2 trucks per hour (30 minutes per truck).compute l, lq, w, and wq. (round answers to 1 decimal place, e. g. 15.5.)

Which of the following is not a potential problem with beta and its estimation? sometimes, during a period when the company is undergoing a change such as toward more leverage or riskier assets, the calculated beta will be drastically different than the "true" or "expected future" beta. the beta of "the market," can change over time, sometimes drastically.

You speak to a business owner that is taking in almost $2000 in revenue each month. the owner still says that they are having trouble keeping the doors open. how can that be possible? use the terms of revenue, expenses and profit/loss in your answer

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.