1) D. 4; this is because you can conduct experiments to see if larger-petaled sunflowers really do attract more bees than smaller-petaled sunflowers.
2) A. The exact experiment can be repeated by others and the results compared.; they will get a more accurate conclusion to which sweetener will attract a larger number of ants once they compare results after doing the exact same experiment.
3) A. All types of metal are attracted to magnets.; we know this is the answer because that's the only reason she got DIFFERENT types of metal. If she was testing if HEAVIER metal objects are more attracted, than why wouldn't she get the same type of metal but get different types of weight?
Answer:
Industrial Revolution.
Explanation:
Industrial revolution referred to the transformation of the traditional agriculture and handicraft economy to machine-based industries. The history of the industrial revolution is rooted in eighteenth-century England from where it spread to other Europeans nations and continents. Its characteristics include urbanization, mass-scale production, technological innovation, etc.
Answer: avoid emmiting opinion about what was the main feeling being expressed in the act by the characters for being unsure in identifying what exactly would the facial expressions mean.
Explanation: According to these authors surveys - in which Masuda is one of them - oriental individuals, including the japanese, are more used to recognizing the situational motivation and overall mood when there is a more explicit balance of expressions on the characters. This social characteristic could be better understood if you can conceive their prioritization on group value, mood and will, in comparison to the importance of lone individual or inner self expression, more common in ocidental world culture. It is even stated that, in japanese culture, adapting your self expression to the group´s line is considered to be a sign of maturity and appropriateness in social conduct.
An operational definition, when applied to data collection, is a clear,
concise detailed definition of a measure. The need for operational
definitions is fundamental when collecting all types of data. It is
particularly important when a decision is being made about whether
something is correct or incorrect, or when a visual check is being made
where there is room for confusion.
