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What should you do after concluding that your tests support your hypothesis?
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What is the step by step process that tests a hypothesis?
The experiment tests the hypothesis.
What is a hypothesis that has been repeatedly and rigorously tested and supported?
The hypothesis which has been tested and verified repeatedly by tests is called theory.
What is the connection between hypotheses and tests in an investigation?
A hypothesis is tested by investigation through experimentation
What does it mean when tests are chi-square based?
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.
What is the connection between hypotheses and the tests that are conducted in an investigation?
They are part of the scientific method. The test results confirm or disprove the hypothesis.
As a scientist what should you do after concluding that your tests support your hypothesis?
The experiment that you will design is done to test the hypothesis.
What can scientists do if their tests do not support their hypothesis?
Amend or discard the hypothesis
What is the step by step process that tests a hypothesis?
The experiment tests the hypothesis.
What tests a hypothesis?
A hypothesis is tested by having trials
The results of an experiment do not support the hypothesis that the experiment was designed to test Was the experiment a waste of time?
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.
What tests your hypothesis?
By conducting your experiment, the result of that experiment either agrees with your hypothesis or disagrees your hypothesis.
When stating a hypothesis what is the next step that a physicist is most likely to take in answering a question?
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.
Differences between null and alternative 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.
How is a hypothisis important to science?
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.
What do you call a hypothesis that has passed several tests and is unlikely to be disproved by future tests?
A theory.
How is null hypothesis tested?
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.
What do scientists do to confirm a hypothesis?
They make continuous tests and evaluations until the hypothesis becomes validated and certified.
