What is biasness management​

The following selected circumstances relate to pending lawsuits for erismus, inc. erismus’s fiscal year ends on december 31. financial statements are issued in march 2019. erismus prepares its financial statements according to u. s. gaap. required: indicate the amount erismus would record as an asset, liability, or not accrued in the following circumstances. 1. erismus is defending against a lawsuit. erismus's management believes the company has a slightly worse than 50/50 chance of eventually prevailing in court, and that if it loses, the judgment will be $1,000,000. 2. erismus is defending against a lawsuit. erismus's management believes it is probable that the company will lose in court. if it loses, management believes that damages could fall anywhere in the range of $2,000,000 to $4,000,000, with any damage in that range equally likely. 3. erismus is defending against a lawsuit. erismus's management believes it is probable that the company will lose in court. if it loses, management believes that damages will eventually be $5,000,000, with a present value of $3,500,000. 4. erismus is a plaintiff in a lawsuit. erismus's management believes it is probable that the company eventually will prevail in court, and that if it prevails, the judgment will be $1,000,000. 5. erismus is a plaintiff in a lawsuit. erismus’s management believes it is virtually certain that the company eventually will prevail in court, and that if it prevails, the judgment will be $500,000.

What would you do as ceo to support the goals of japan airlines during the challenging economics that airlines face?

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.