The differences could be attributed to several variables, including socioeconomic factors, cultural influences, access to education and healthcare, and environmental conditions. Additionally, individual experiences, such as personal background and opportunities, can significantly impact outcomes. Variations in policies and governance in different regions may also play a crucial role. Ultimately, it is the interplay of these variables that creates distinct differences in results across populations.
All currents are caused by differences in pressure.
No. Some can be caused are caused by nurture: health - including diet and diseases.
Well, when something changes, you would not know which variable caused the change in the experiment.
One is dependent and one is independent
land breezes r caused in the night.
You need to control the variables because if you have two or more variables in an experiment you will never know which variable caused a change or not caused a change.
No, it would not. It is possible that the statistical model is under-specified and that the variables being studied are all "caused" by another variable.
All currents are caused by differences in pressure.
No. Some can be caused are caused by nurture: health - including diet and diseases.
Well, when something changes, you would not know which variable caused the change in the experiment.
The movement of material due to differences in density caused by differences in temperature is called convection.
Global variables can be seen in all blocks of your program, when local variables are visible only within the block where it's declared.
In addition to human caused variables that contribute to warming, there are several natural variables which also are major factors. These include solar activity, volcano activity and en nino activity.
One is dependent and one is independent
They will have different variables, in different configurations.
Um, one of its variables is both the same? :-)
Its caused ok differences in air pressure