examining/ experimenting/ testing/ verifying... it depends on the type of hypothesis to an extent I think.
forming a hypothesis is when you come up with an educated guess.. what you think it may be . testing a hypothesis is when you're testing to see if someone else's guess is right.
A hypothesis is a suggestion of a way to explain something. If the hypothesis is tested and confirmed, it can advance to the status of theory. The conclusion of testing a hypothesis will be either that the hypothesis is confirmed, or it is not confirmed.
Rejecting a true null hypothesis.
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
An experiment or method
forming a hypothesis is when you come up with an educated guess.. what you think it may be . testing a hypothesis is when you're testing to see if someone else's guess is right.
A hypothesis is any idea used to explain and test a scientific idea. To find if it is true, you need to test it, which you do by running some testing, and it may then be proven.
Concluding that the hypothesis is correct based on personal beliefs or opinions is not part of testing a hypothesis. Testing a hypothesis involves designing experiments, collecting data, and analyzing results to determine if the hypothesis is supported or not.
A hypothesis is a suggestion of a way to explain something. If the hypothesis is tested and confirmed, it can advance to the status of theory. The conclusion of testing a hypothesis will be either that the hypothesis is confirmed, or it is not confirmed.
The purpose of controlling the environment when testing a hypothesis is ultimately to get a reliable result to the study.
Rejecting a true null hypothesis.
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
an experiment
By testing.
A hypothesis is a proposed explanation which scientists test with the available scientific theories. There are four steps to testing a hypothesis; state the hypothesis, formulate an analysis plan, analyze sample data and interpret the results.
The probability of correctly detecting a false null hypothesis.
the process is to know what they hypothesis means