Laws:
*Based on facts
*have been proven to be true
*more descriptive
*have evidence & results to show proof
Theories:
*are based on observations
*testable observations that have not been proven
*have evidence to support the claim
*explanation
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Both:
Correlational study is used to show the type of association or relationship which exists between two or more variables using statistical analysis. Ken's research shows that <em>there</em><em> </em><em>is</em><em> </em><em>a</em><em> </em><em>relationship</em><em> </em><em>between</em><em> </em><em>childhood</em><em> </em><em>anger</em><em> </em><em>management</em><em> </em><em>and</em><em> </em><em>adult</em><em> </em><em>earning</em><em>.</em><em> </em>
- According to Ken's research, learning how to control anger leads to making more income during adulthood. This signifies a positive relationship between good anger management in childhood and earning made during adulthood.
- Similarly poor anger management in childhood leads is associated with low earning during adulthood.
- Hence, Ken's research shows that there is a relationship between <em>childhood</em><em> </em><em>anger</em><em> </em><em>management</em><em> </em><em>and</em><em> </em><em>adult</em><em> </em><em>earnings</em><em>.</em><em> </em>
<em>Learn</em><em> </em><em>more</em><em> </em><em>:</em><em> </em><em>brainly.com/question/17561092?referrer=searchResults</em>
The finches of the same genus had different characteristic on the different islands of the Galapagos. They had different graded beaks sizes and shapes. In some islands, finches had sharp beaks for stabbing their prey. In other islands, the fiches had short stout beaks for grain-eating. This is a case of allopatric speciation where a population of the finches diverged to.adapt to the habitats in the different islands and also claim different niches
The Phleom does that action. Hope this helped! :)
If I was going to make a prediction for a scientific data thing I would always go to plotting it as a graph – with graphics calculators you can get it to even give you an equation to follow.
The only problem with this is if you're wanting to predict data beyond the range of your given data points (extrapolating), because it is generally viewed as inaccurate.