This means the data supported the hypothesis.
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
You mean hypothesis, it means a scientific guess.
Preliminary hypothesis is an educated guess made before any experiment is done. A hypothesis is an unproven theory or statement.
Your question is a bit difficult to understand. I will rephrase: In hypothesis testing, when the sample mean is close to the assumed mean of the population (null hypotheses), what does that tell you? Answer: For a given sample size n and an alpha value, the closer the calculated mean is to the assumed mean of the population, the higher chance that null hypothesis will not be rejected in favor of the alternative hypothesis.
Theory
A hypothesis is an attempt to explain a phenomenon, based on partial information. Developing a hypothesis is finding a method for testing it: identifying something which is more likely to happen if the hypothesis were true and not if it were not. The next part of developing it is to design an experiment which can be used to test these outcomes.
To develop a hypothesis you need to observe and make an educated guess, by starting the sentence with "If...then.....because...."
The best way to make a hypothesis is to educate yourself on the topic. Then develop a question that you can answer.
once a hypothesis has been supported in repeated experiments, scientists can begin to develop a theory.
once a hypothesis has been supported in repeated experiments, scientists can begin to develop a theory.
many differnet scientists doing expiraments that prove the hypothesis to be true-then it becomes a theory
to make a hypothesis must include if the and then the ex. if the salinity of the water increases then the more brine shrimp will hatch
If you develop an experiment that truly demonstrates that the hypothesis is wrong*, then the hypothesis will lose its acceptance in the scientific community.* Such an experiment would have to be repeatable by other scientists AND accepted by interested scientists as a proof that the hypothesis is wrong.
Speculated is the past tense of the verb speculate. To speculate is to wonder, to develop a hypothesis, to guess. For example, I would speculate that the elections this year will be exceptionally partisan.
An experiment is designed to test the hypothesis. To create an experiment, you have to first think of the what materials are needed, and then develop a procedure.
This means the data supported the hypothesis.