What is the definition of null hypothesis?
A null hypothesis is a statement about a population parameter that is assumed to be true until it is disproved. It is typically used in hypothesis testing and statistical tests to determine whether or not an observed result is significant. The null hypothesis is usually denoted as H0, and it is assumed to be true until it is disproved. It is the opposite of the alternative hypothesis, which is denoted as Ha.
To test the null hypothesis, a researcher will collect data and perform a statistical test. If the test results show that the data is significantly different from what would be expected under the null hypothesis, then the null hypothesis is rejected. If the test results do not show a significant difference, then the null hypothesis is accepted.
The null hypothesis is an important concept in statistics because it is used to determine whether or not a result is significant. It is also used to help researchers design experiments and interpret results. By understanding the null hypothesis, researchers can make more informed decisions about their research.