The storm lasted as long as it takes rice to cook” is an example of

25. kerry company plans to sell 200,000 units of finished product in july and anticipates a growth rate in sales of 5% per month. the desired monthly ending inventory in units of finished product is 80% of the next month's estimated sales. there are 150,000 finished units in inventory on june 30. kerry company's production requirement in units of finished product for the three-month period ending september 30 is: a. 712,025 units b. 630,500 units c. 664,000 units d. 665,720 units

10. which of the following is true regarding preretirement inflation? a. defined-benefit plans provide more inflation protection than defined-contribution plans. b. because of preretirement inflation, possible investment-related growth is increased for defined-contribution plans. c. all types of benefits are designed to cope with preretirement inflation. d. preretirement inflation is generally reflected in the increase in an employee's compensation level over a working career.

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.