The Pre-Columbian era incorporates all period subdivisions in the history and prehistory of the Americas before the appearance of significant European influences on the American continent, spanning the time of the original settlement in the Upper Paleolithic period to European colonization during the Early Modern period.
While the phrase "pre-Columbian era" literally refers only to the time preceding Christopher Columbus's voyages of 1492, in practice the phrase is usually used to denote the entire history of indigenous Americas cultures until those cultures were exterminated, diminished, or extensively altered by Europeans, even if this happened decades or centuries after Columbus's first landing. For this reason the alternative terms of Precontact Americas, Pre-Colonial Americas or Prehistoric Americas are also in use. In areas of Latin America the term usually used is Pre-Hispanic.
Answer:
a = 132 m/s^2
Explanation:
f(t) = t^4 − 2t^3 − 6t^2 + 9t
v = f'(t) = 4t^3 - 6t^2 - 12t + 9
a = f''(t) = 12t^2 - 12t -12
Substitute t = 4 seconds into the equation for a:
a = 12(16) -12(4) -12 = 132 m/s^2
Well the Massachusetts Bay colony was settled by Puritans as you probably know and their reason was religious reasons. I’m sorry I don’t have any more details, hoped this helped!
For a marketing research study to have validity, it must actually measure what it sets out to measure.
Explanation:
When it comes to research, we need to make sure that the measures we are using are reliable and valid.
Reliability refers to consistency across time, items, and researchers. Validity refers to what degree the results of the research reflect what they are intended to reflect (if the research actually measures what it has set out to measure). There are three main types of validity:
- face validity - the extent to which the research actually measures what it's supposed to measure;
- content validity - the extent to which a measure represents all aspects of the researched phenomenon;
- criterion validity - whether the results of the research correlate with other variables they are expected to be correlated with and not correlated with variables they are not expected to be correlated with.
Learn more about the use of databases in research: brainly.com/question/2735192
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