It's quite possible to use all sort of data to become true a hypothesis. The problem is to find the correct type of data.
A hypothesis test is used to make certain decisions based on the data collected.
The term that best describes a test used to answer a question is "hypothesis test." In statistics, a hypothesis test is a method for determining whether there is enough evidence to support a specific claim or hypothesis about a population based on sample data. It involves comparing the observed data to what would be expected under the null hypothesis to draw a conclusion.
A statistician may have some idea about some statistics in a data set, and there is a need to test whether or not that hypothesis is likely to be true. Data are collected and a test statistic is calculated. The value of this test statistic is used to determine the probability that the hypothesis is true.
The term is "data." Data is collected and analyzed to test a hypothesis and draw conclusions in scientific research and experiments.
Test your hypothesis against the data
Test your hypothesis against the available data
A hypothesis is a testable statement. To check the accuracy of your statement, you need to design an experiment to test it and collect data. Then you analyze your data to see how well it supported your hypothesis.
Results from a test. What you learned from the test/what you found, what was tested, hypothesis, etc.
Data
Through observation, survey, or secondary data
The data collected in an experiment test a hypothesis. A hypothesis is an educated guess about a specific question, usually regarding science.
A controlled experiment is used to test a hypothesis.