When the theory withstands the new discoveries and proven correct by new instruments over the long time, it is considered
what ind of test analyze data for experimental treatments
Statistical testing is used to analyze data for experimental treatment. This test is to do math.
data data
"a hypothesis is a tentative answer to some quesion." (essential biology:third edition)
Theory
`no!
none
theory
No. You can use your experimental observations or do more research to formulate a new hypothesis. A hypothesis that is not supported by the experimental data, it is just simply an unsupported hypothesis.
The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.
Experimental data is an important component of any scientific paper.After looking at the data, we can compare that to our hypothesis and see if it matches to our tentative idea.Analysis of experimental data also helps us to draw a conclusion of an experiment.
A hypothesis become a theory if it is proved by experimental data. tested; conclusion (apex)
B. A hypothesis can never be proven. It can be supported, unsupported, or partially supported by the experimental evidence. The experimental data resulting from a tested hypothesis can be used to formulate a new hypothesis.
Experimental design and plan.
They make experimental condensation of the eutrofication. ! ;)
When a hypothesis is not supported by data, two possibilities exist. The hypothesis can either be rejected and a new one is formulated, or more data is required to retest the hypothesis.
By collecting data. Hypotheses are tested through experimentation, which can be manifest in an infinite amount of ways. The common ground in all hypothesis testing is that both a control (a group that is free of experimental manipulation in the studied variable), and an experimental group (a group with one experimental variable manipulated to test the effect of this variable) are needed to understand the question raised in the hypothesis.