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<h2>
What are industrial accidents?</h2>
- Any accident that occurs at work and leaves a victim injured is referred to as an industrial accident. Industrial accidents are frequently preventable, but both management and employees must be aware of the proper safety procedures.
- When an industrial accident occurs, it may have serious and frequently long-term repercussions. Tragically, most of these incidents could have been prevented or avoided.
<h2>
What are the major causes of Industrial Accident?</h2>
- Environmental Causes of Accidents
- Mechanical Causes of Industrial Accidents
- Human Factors That Cause Industrial Accident
<h2>
What are the mechanical causes of Industrial Accidents?</h2>
- Machine that has been broken or damaged - Parts constructed of low-quality metal are readily broken or damaged.
- Power outage - A complete or partial outage might cause catastrophic damage.
- Fire or explosion - A mechanical fire or explosion may be caused by a cooling failure or a minor spark.
- Fair wear and tear - As a machine age, the parts experience greater wear and tear, which increases the chance of a mechanical mishap.
Learn more about Industrial Accidents at: brainly.com/question/17071168?referrer=searchResults
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Answer:
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Middle adulthood is the best choice that completes the statement. According to the Seattle Longitudinal Study, middle adulthood perceives to have the peak of mental abilities. However, there is an earlier decline of fluid intelligence compared to crystallized intelligence in this stage of development.
Answer: The Great Lakes.
Explanation: I hope this helps
If Ken does not account for variables such as age that could also influence one's ability to recall these events, age could be considered a "confounding variable".
A confounding variable is an outside impact that progressions the impact of a dependent and independent variable. This incidental impact is utilized to impact the result of a experimental plan. Basically, a confounding variable is an additional variable went into the condition that was not represented. confounding variables can demolish an examination and deliver futile outcomes. They propose that there are connections when there truly are definitely not.