The correct answer is D) There would likely not be life on Earth because its surface would be much colder and Earth's water would be frozen.
Life on Earth could be affected if the atmosphere did NOT contain greenhouse gases in the following way: "There would likely not be life on Earth because its surface would be much colder and Earth's water would be frozen."
Scientists agree that this is basically the importance of greenhouse gases on the atmosphere of planet earth. Without these gases, the surface of the earth would have an average temperature of minus 18 centigrades. Many life forms as we know them could not survive under this hairs climate condition. Furthermore, most of the surface of the earth would be covered on ice.
That statement is true - assuming that you are talking about queries in search engine.
for example, John from <em>London </em>type this query on his search engine " Mc Donalds <u>Manchester </u>Area"
Macnhester is the explicit location, because it is found insde the query
Meanwhile, London become the implicit location because it is the location where John Type the query
Genital retraction syndrome (grs) is an unusual, culture-bound phenomenon that has attracted considerable attention in many areas of the world community, especially in Asia and Africa.
GRS or The koro syndrome is a psychiatric disorder characterized by acute anxiety and a deep-seated fear of shrinkage of the penis and its ultimate retraction into the abdomen, which will cause death.
Answer:Some individuals may be natural good at maths or may be just smart kids who are good with mathematics
Explanation:Some students may be intelligent or good at maths which means the shoe size will not be the cause of their quantification skills.
A confounding variable refers to another variable that you may have not take notice of but which is very likely to act on the variable you are trying to measure and make that change you are looking for , its an extra variable. It can mess up your experiment and give you result that are not caused by what your projected. They can assume a correlation that doesn't exist and insert bias in your study. For this reason you have to know these variable before you start your research or study in order to avoid them.
Answer:
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Explanation: