The experiment tests the hypothesis.
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.
They are part of the scientific method. The test results confirm or disprove the hypothesis.
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.
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 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.
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.
A theory.
They make continuous tests and evaluations until the hypothesis becomes validated and certified.
The null hypothesis is typically tested using statistical tests such as t-tests, ANOVA, or chi-square tests. These tests calculate the probability of obtaining the observed data if the null hypothesis were true. If this probability (p-value) is below a certain threshold (usually 0.05), the null hypothesis is rejected.