Answer:
Negative
Explanation:
Negative reinforcements refers to an answer or a response to a situation in which the negative behavior is supported or strengthened by removing a punishment or allowing an negative action. Here, Micheal told his son to wait 10 minutes but when the son whines and complains he decides to play the movie. This reinforces the negative behavior of Micheal's son and now he might do it again to get his wish. Hence, this is a negative reinforcement.
Answer:
capital: Ottawa
official languages: French and English
Rank among other countries for population: number 39 in the list of countries (and dependencies) by population.
Government: parliamentary democracy
Canada is the 2 largest country but only has 1/2 of the world's population. Canada is broken down into 7 physical regions: Arctic Lands, Cordillera, Interior Plains, Hudson Bay Lowland, Canadian Shield Forest Lands, St Lawrence Lowlands and Appalachia.
Explanation:
Answer:
im not sure but i think its c
Explanation:
Hope its correct!
Answer:
the level of development depends on how financially the area is for example in cities ,the level of development is high compared to villages
this is because in cities there are many financial assets like jobs,industries,markets and others
increase in population also increases the level of development because there is large market for produced goods ,I mean in some places where there are lots of people , there is increased development..since the government sets up modern roads,high quality buildings,and others..that differentiates low populated areas from high populated areas
in industrious areas,there is high development because people are employed and they improve infrastructure for example building houses and also roads are developed since they need to transfer goods from industries
<em>The Butterfly Effect</em> is one of the applied models in weather forecasting. It makes us understand that the reliability of forecasting drops considerably after 10 days.
Of course, the butterfly wings cannot cause a big storm, but in some cases, if the actual conditions can be studied it can have an effect, but is very hard to detect.
Professor Lovejoy, from McGill University, comments that "<em>the Butterfly Effect treats the weather as random and uses historical data to force the forecast and reflect a realistic climate"</em>.
