Greg belongs to a society which makes very few distinctions between people and groups. this is reflected in his company, sonata dcm, the managers of which represent several different classes and cultures. the society to which he belongs is

Carolyn has a 50 percent interest in a general partnership that has a $14,000 loss for the year. she materially participates in the partnership. her basis in the partnership is $10,000. she also has salary from other employment of $46,000. if she is single, has no dependents, and claims the standard deduction, what is her taxable income and her tax liability in 2017

Forecasting as a first step in the team’s decision making, it wants to forecast quarterly demand for each of the two types of containers for years 6 to 8. based on historical trends, demand is expected to continue to grow until year 8, after which it is expected to plateau. julie must select the appropriate forecasting method and estimate the likely forecast error. which method should she choose? why? using the method selected, forecast demand for years 6 to 8.

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.