Let's start with what a proper null hypothesis is. A null hypothesis is a testable assertion based on preliminary observations or tests. Here's one:
EX: NULL: It's raining outside. ALT: It's not raining outside.
Note whenever we pose a Null hypothesis we must also specify an Alternative hypothesis so that if the Null proves to be not valid, the Alternative automatically proves to be not false.
We presume the NULL here is based on the observation that someone just came in from the outside and is drenching wet. Is it testable? Sure, we can just stick our hand out the window to see if it gets wet.
But that might be due to a sprinkler system in the lawn. So we do a second test and look at the area around and see a downpour there. So based on the two tests we conclude that the NULL is not false. And that means the ALT most likely is false.
Of course, in the design and analysis of scientific experiments, the NULL is typically mathematical and a bit more complex. But the concepts are still the same. They must be testable and must be based on preliminary tests and observations. And there must be an ALT to go with the NULL..
Hypothesis are guesses based on information.
hypothesis
sometihing that has a hypothesis
you can ask several different hypothesis go to hypothesis.com
Hypothesis
observation and hypothesis
jag wayere
Examples of hypothesis questions include: "Does caffeine improve memory retention?", "Is there a relationship between exercise and stress levels?", and "How does temperature affect plant growth?"
hypothesis
Give 3 example of cause and effect
The hypothesis that objects with more mass will exert a greater gravitational force on each other. The hypothesis that light is composed of particles called photons. The hypothesis that electric currents produce magnetic fields.
Increased levels of atmospheric carbon dioxide might cause global warming.