Observation
The overwhelming majority of scientists agree that global warming is real. Multiple studies have shown that around 97 of climate scientists support the consensus that human activities are causing global warming.
Scientists believe that the increase in greenhouse gases, particularly carbon dioxide, from human activities such as burning fossil fuels, deforestation, and industrial processes is the main cause of the Earth's atmosphere warming. This leads to the greenhouse effect, where these gases trap heat in the atmosphere, causing the planet's temperature to rise.
Scientists think that human burning of fossil fuels (coal, oil and natural gas) in industry, transport and the generation of electricity (which releases carbon dioxide (CO2)), is causing the atmospheric temperature rise.
Scientists believe that continents move due to the process of plate tectonics. This theory explains that the Earth's outer shell is divided into several plates that float on the semi-fluid mantle below. These plates move over time, causing the continents to drift apart or come together.
Scientists think that the continents were once part of a supercontinent called Pangaea that started breaking apart about 200 million years ago through the process of plate tectonics. This movement of the Earth's crustal plates continues to this day, causing the continents to drift apart.
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Using two manipulated variables in an experiment can make it difficult to determine which variable is actually causing a change in the outcome. This can lead to confounding variables and make it challenging to draw clear conclusions about the relationship between the variables and the outcome. It's important to isolate and study one variable at a time to accurately understand its impact.
lurking
Yes, scientists know what is causing the ozone layer to disappear. It is the continues use of ozone depleting substances.
Control
no one cares
confounded
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.It is advantageous for scientists to test only one variable at a time during an experiment because if you change all variables at once, you will not be able to tell which variable is responsible for the observed results.
This is extremely variable, depending upon the condition causing the paralysis.
If you change more than one variable at a time, you will not be able to tell which variable is responsible for what change. Scientists need to know exactly which variable caused the observed experimental results.
A variable which can be controlled by some other variables or some other parameters is known as controlled variable. A controlled variable is something that can be changed by the experimenter. It is also known as the independent variable. It is something that gives a measure by which to gauge everything else by. For example, if you were testing the effectiveness of a plant fertilizer the "control" would be a plant that is given no fertilizer at all. A controlled variable is the variable that stays the same through out the experiment meaning no changes to it.
Causation refers to a direct cause-and-effect relationship between two variables, where one variable directly influences the other. Correlation, on the other hand, simply means that two variables are related in some way, but one does not necessarily cause the other. To determine if one variable is causing changes in another variable, researchers often use experimental studies where they manipulate one variable and observe the effect on the other. Additionally, controlling for other factors and using statistical analysis can help establish a causal relationship between variables.