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∙ 7y agoThere are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
Audra Weissnat
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
A variable in science is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by a scientist in the experiment. The depended variable is what you measure in the experiment and what is affected during the experiment. A controlled variable is one which the researcher holds constant (controls) during an experiment.
manipulated variableresponding variablecontrolled variable
Different types of clothing and a backpack. A backpack must be controlled in this experiment. Hope this helps students. ( Science Teacher ) :)
In science, there are three types of mixtures. These mixture types are, suspension mixture, colloidal mixture and a solution.
When you see the sparingliful of the situation instead of the spraingly.
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
A variable in science is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by a scientist in the experiment. The depended variable is what you measure in the experiment and what is affected during the experiment. A controlled variable is one which the researcher holds constant (controls) during an experiment.
If you mean a science experiment, you could test whether playing certain types of music affect a student's performance on a test. *Just a thought*
Different types of clothing and a backpack. A backpack must be controlled in this experiment. Hope this helps students. ( Science Teacher ) :)
manipulated variableresponding variablecontrolled variable
A manipulated variable could be the type of fuel used in the experiment, such as different types of chemicals or substances added to the fire to produce different colored flames.
The three types of models used in science are : Physical models Mathematical models Conceptual models
I think you could if you also explained why it does go flat.
Cardiologist, General Doctor, endocrinologist
There are three fundamental types of graphs used in science. These are the bar graph, line graph and the pie graph.
Brass, String and Woodwind