the 3 kinds of hypothesis are:
1. alternative: this is the hypothesis that is affirmative, positive, and approving..... this gives a positive possible result of the experiment.
2. null: this is a negative hypothesis about the experiment........
3. cause and effect: this kind of hypothesis gives a cause and effect hypothesis.... this has the "if & then" clause...... (example: "if sunlight affects the growth of plants, then it might slow down or fasten the plant's growth.")
A non-directional research hypothesis is a kind of hypothesis that is used in testing statistical significance. It states that there is no difference between variables.
You want to have a hypothesis to test. A hypothesis is kind of like a reasoned guess what you expect to happen. The results of your experiment will either support your hypothesis or it wont.
There are a few things that can give rise to a hypothesis. The main thing is null error.
experient and hypothesis
a testable model can be a hypothesis
experient and hypothesis
experient and hypothesis
experient and hypothesis
Hypothesis and significance testing
experient and hypothesis
Hypothesis and significance testing
experient and hypothesis