write a short paragraph
Discussion 2
Prompt1:
In your own words explain Reason’s swiss cheese model. Give an example of this model’s implementation in any industry.
OR
Prompt2:
What are some of the factors that affect vigilance. Which one do you think is the most detrimental and why? What would you do to remedy this problem?
Your main post must be at least 200 words.
write a short paragraph
Discussion 1
Prompt 1:
If you were to conduct a research study, you would have to choose between an Experimental Method or a Correlational Method. Explain the difference between the two. Which one would you choose to utilize, and why?
A youtube video on the topic has been attached for your reference.https://www.youtube.
OR
Prompt 2:
Explain two reasons why human beings can only perceive the narrow range on the spectrum of visible light? What is one reason why we cannot perceive the X-rays?
Your main post must be at least 200 words.
write a short paragraph
discussion 3:
Prompt1:
Explain the concept of Cry Wolf Syndrome in terms of sensors and alerts on vehicles as a method to improve driving safety. Give an example.
OR
Prompt2:
Provide a detailed report on the current statistics of automotive accident rates, injuries, and fatalities in the US and worldwide. Additionally focus on statistics involving distraction related to cell phone use and whether we are solving the problem or the problem is getting worse.
Your main post must be at least 200 words.
Answer preview
During the research, either the experimental or correlational method can be used. However, the two methods are different in terms of their implementation. In an experimental method, a researcher makes some changes and figures out the effect of those changes. This means that the experimental method is based on the relationship between a cause and its consequences. For example, a poor sleeping style causes back pain. On the other hand, the correlational method is used to find out the relationship between two or more variables. Unlike the experimental method, there is no causal relationship between the variables. Correlation can be represented as either positive, negative, or no correlation (Campbell, 2012).
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