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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.
a testable model can be a hypothesis
experient and hypothesis
experient and hypothesis
experient and hypothesis
Hypothesis and significance testing
Hypothesis and significance testing
Hypothesis and significance testing
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.
A problem is a kind of question. A hypothesis is a kind of estimate of how something works or why it doesn't work, or is, or is not, or might eventually be.
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.")
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.
As a kind of living organism
a testable model can be a hypothesis
experient and hypothesis
all die from testing them.