Write it up and publish.
The experiment tests the hypothesis.
Yes, the alternative hypothesis can be either true or false, depending on the context of the study or experiment. In hypothesis testing, the alternative hypothesis represents a statement that contradicts the null hypothesis; thus, only one can be true at a given time. If the alternative hypothesis is true, it suggests that there is a significant effect or difference, while if it is false, it indicates that the null hypothesis holds true. Ultimately, statistical tests aim to gather evidence to support one hypothesis over the other.
The hypothesis which has been tested and verified repeatedly by tests is called theory.
A hypothesis is tested by investigation through experimentation
A chi-squared test is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
The experiment that you will design is done to test the hypothesis.
Amend or discard the hypothesis
The experiment tests the hypothesis.
A hypothesis is tested by having trials
The purposes of testing a hypothesis is to test it. Pass or fail, the experiment is a "success" if it does that - tests the hyposthesis. If the results don't support the hypothesis, then that is valuable data that helps you either abandon or refine the hypothesis.
By conducting your experiment, the result of that experiment either agrees with your hypothesis or disagrees your hypothesis.
The difference between the null hypothesis and the alternative hypothesis are on the sense of the tests. In statistical inference, the null hypothesis should be in a positive sense such in a sense, you are testing a hypothesis you are probably sure of. In other words, the null hypothesis must be the hypothesis you are almost sure of. Just an important note, that when you are doing a tests, you are testing if a certain event probably occurs at certain level of significance. The alternative hypothesis is the opposite one.
After stating a hypothesis, a physicist is likely to design and conduct experiments or tests to gather data and evidence that either support or refute the hypothesis. This process helps to refine and validate the hypothesis through empirical observation and analysis.
The validity of a hypothesis is tested through empirical research and experimentation. This typically involves formulating predictions based on the hypothesis and conducting controlled experiments or studies to gather data. Statistical analyses are then used to determine whether the results support or refute the hypothesis. Replication of findings by independent researchers further strengthens the validity of the hypothesis.
A theory.
Science is based on the principle of falsifiability. It is necessary to develop a hypothesis based on the current understanding. You then make a prediction and design tests or experiments which will either disprove the hypothesis or add support in favour of the scientific theory.
They make continuous tests and evaluations until the hypothesis becomes validated and certified.