Jasper company is a wholesaler that buys merchandise in large quantities. its supplier's catalog indicates a list price of $500 per unit on merchandise jasper intends to purchase, and offers a 30% trade discount for large quantity purchases. the cost of shipping for the merchandise is $7 per unit. jasper's total purchase price per unit will be

The last time he flew jet value air, juan's plane developed a fuel leak and had to make an 4) emergency landing. the time before that, his plane was grounded because of an electrical problem. juan is sure his current trip will be fraught with problems and he will once again be delayed. this is an example of the bias a) confirmation b) availability c) selective perception d) randomness

Why are the four primary service outputs of spatial convenience, lot size, waiting time, and product variety important to logistics management? provide examples of competing firms that differ in the level of each service output provided to customers?

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.