Answer:
High face validity
Explanation:
Face validity refers to the degree to which an assessment or test subjectively appears to measure the variable or construct that it is supposed to measure. In other words, face validity is when an assessment or test appears to do what it claims to do.Tests wherein the purpose is clear, even to naïve respondents, are said to have high face validity.
<u>Answer:
</u>
Measurement error
<u>Explanation:
</u>
<u>Measurement error</u> is called an observational error. it is the difference between the quantity and its true value. It includes
<u>Random error:</u>
It is a natural occurring error that is expected to be an experimenter.
Random error is expected but even all sample is a random error.
<u>Systematic error:
</u>
It occurs due to the use of false instruments that affects all the measurement.
For example, if you are measuring the weight of athletes and the instrument you are using show 1 pound less weight it will show for all athletes one pound less wight called systematic error.
The error gets grown when you use that procedure in data measurement.
A cuz it has sum to do with budget
Answer: comparative advantage theory
Explanation:
Suggested by David Ricardo in the early 19th century it is a guiding principle leading to the idea of free trade. (McGraw Hill understanding business)
