2. Product (Segment) elimination decision. The Kelsh Company has two divisions-- North and South. The divisions have the following revenues and expenses:
North South
Sales $900,000 $800,000
Variable expenses 450,000 300,000
Traceable fixed expenses 260,000 210,000
Allocated common corporate expenses 240,000 190,000
Net operating income (loss) ($50,000) $100,000
Management at Kelsh is pondering the elimination of the North Division. If the North Division were eliminated, its traceable fixed expenses could be avoided. The total common corporate expenses would be unaffected.
Given this data, the elimination of the North Division would result in an overall company
operating income of:
A) $50,000.
B) ($140,000).
C) $100,000.
D) $150,000.

What does the consumer price index measure? a. the change in prices of all goods and services over time b. the change in prices of specific goods and services over time c. the change in prices of final goods and services over time

Double corporation acquired all of the common stock of simple company for

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.