Charles, Clarissa, and Francine all work in Manufacturing. The table shows the breakdown of one day for each employee.
Charles
Clarissa
Francine
9:00 a. m.-11:00 a. m.
6:00 a. m.-7:00 a. m.
8:00 a. m.-9:00 a. m.
meeting with production
team and first-line
supervisor of production
review lists of damaged
equipment
11:00 a. m.-12:00 p. m.
8:00 a. m.-11:00 a. m.
meeting with finance
team
decide on which products
need assessment
9:00 a. m.-12:00p. m.
test products on factory
floor against standards
1:00p. m. -4:00p. m.
write reports and
recommendations on
tested products
fix damaged machines in
the hospital laboratory
1:00 p. m.-2:00 p. m.
meeting with materials
engineer for new project
12:00 p. m.-2:00 p. m.

How does knowing about supply and demand

An annuity that goes on indefinitely is called a perpetuity. the payments of a perpetuity constitute a/an series. the equation is: a stock with no maturity is an example of a perpetuity. quantitative problem: you own a security that provides an annual dividend of $170 forever. the security’s annual return is 9%. what is the present value of this security? round your answer to the nearest cent. $

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.