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So you do not get any harmful chemicals in your eyes that could make you blind. Also to protect your eyes from other dangers that creep in the lab.

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16y ago

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When are goggles absolutely necessary in the laboratory?

Goggles are absolutely necessary in the laboratory when working with chemicals, acids, biological materials, or any other potentially hazardous substances that can cause eye irritation or damage. It is crucial to protect your eyes from splashes, spills, and fumes to prevent injuries.


Why is it important control variables in a experiment?

so that you don't mess up, and something could go wrong while you'r doing the experiment.


What is the definition of a scienctific goggles?

Scientific goggles would be goggles scientists wear while using chemicals or doing something in the lab that they may want to protect their eyes from.


Why were goggles invented?

goggles were invented as a way for us to protect our eyes and look fashionable while doing it. http://www.gogglesandglasses.com/index.html


Why is it dangerous not to have goggles while doing a lab?

if what ever you are using gets in your eyes you will get blind


How do you overcome or reduce the problem of random error and systematic error while doing an experiment?

how to reduce the problem of random error and systematic error while doing an experiment


The information you collect while doing your experiment is called?

Data


Information you collect while doing your experiment is called?

Data


What 2 things help you stay safe while doing a science project?

Closed toed shoes and goggles(depending what your'e doing)


What do you call the information you collect while doing your experiment?

It is called data I believe.


Name an activity that you might wear goggles while doing?

swimming scuba diving skiing/snowboarding construction work


How do you overcome or reduce the problem of random error and systematic error while doing an experiment-?

You can overcome or reduce the problem of random error and systematic error while doing an experiment by increasing the sample size, which means averaging over a huge number of observations.