Answer:
D. all of the above
Explanation:
Choosing an appropriate sample size depends on all of the above factors.
For example, if we want a sample with a high level of confidence, for a population that is very diverse (high variability), and we want the sample to have a very low margin of error, we would need a large sample, in order to make the sample as close as possible to the population as a whole.
Competition for land in North America led to the French and Indian War because mainly of the Ohio Territory. The British and the French pushed wanted to extend their colonies into the land west of the Appalachian Mountains. Many Natives had to leave their homes and many were slaughtered and killed by the French if they did not leave the land. This caused an outrage as the Natives did not want to leave which caused the war to begin.
I believe the answer is: <span> they impede scientific progress
The scientific findings that derived from a research often would be used as a basis for other research in the future. This method allow our scientific development to keep moving forward.
</span><span>When a research knowingly falsified data, the basis for future scientific research is already wrong to begin with and this would stunt the development.</span>
You can determine minimum scores or <u>thresholds </u>for specific criteria in a weighted scoring model.
A value-weighted numerical score for possible projects is generated by a weighted scoring model and is specific to the team. You may determine or create a score that aids in project comparison by picking your criteria carefully and allocating weight based on relevance.
The benefit of a weighted scoring methodology is that it enables a team to prioritise specific criteria over others. By using this model, you may stress your unique requirements while still taking into account a number of other factors when making your choice.
To learn more about weighted scoring model, refer
brainly.com/question/24077879
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