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.
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.
Test your hypothesis against the data
data 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.
Data
Results from a test. What you learned from the test/what you found, what was tested, hypothesis, etc.
Through observation, survey, or secondary data
The lab would be used to test your hypothesis to whether or not you were correct. You would first want to form a hypothesis and then gather data to support or discredit your hypothesis. The hypothesis could be testing anything essentially.
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.