People rely less on the explicit content of the message
Answer:
Correlation and causation are two very different things
Explanation:
Correlation means that two or more factors are dependent on each other in a way that one can be predicted with the help of the other. On the other hand, causation means that one thing causes another. For instance, a correlation between ice cream consumption and hot weather means that when its hot people eat ice cream more and in less hot weather people eat less ice cream. But if this correlation is confused with causation between ice cream demand and hot weather then it would mean that eating ice cream causes hot weather which will not be correct. Also for causation, three criteria should be met which are correlation, no effect of third extraneous variable and this casual effect should precede all other rational effects.
It's raining cats and dogs..
Red sky at night, sailor's delight ; Red sky in the morning sailor's take warning.
Clear moon , frost soon.
A year of snow , a year of plenty.
Rainbow in the morning gives you fair warning.
Rainbow at noon , more rain soon.
<span>Three days rain will empty any sky.</span>
The item that will appear to show that one has opened a Concept Resource in the LearnSmart Library environment is the FlashCards.
<h3>What is LearnSmart?</h3>
LearnSmart is an internet-based interactive, tried-and-true adaptive study tool that tests a student's competence and understanding of course content and monitors which topics have been mastered and which need further practice.
It asks students adaptive questions and then displays the pages of the textbook with a marking system to show them where to focus their study. Students can self-study, or an instructor can assign and receive reports on student progress.
<h3>What is the significance of concept-based learning? </h3>
The strength of a concept-based curriculum is that it allows students to apply their knowledge in different contexts and circumstances.
When students have a thorough comprehension of a subject, they can look beyond the facts of specific case studies and develop broad conclusions about them.
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A lot of farmers use machines like tractors and plows ect. There is also specific ways to get specific plants out.