You are using an out of date browser. It may not display this or other websites correctly. You should upgrade or use an alternative browser.
null hypothesis
In scientific research, the null hypothesis (often denoted H0) is the claim that no relationship exists between two sets of data or variables being analyzed. The null hypothesis is that any experimentally observed difference is due to chance alone, and an underlying causative relationship does not exist, hence the term "null". In addition to the null hypothesis, an alternative hypothesis is also developed, which claims that a relationship does exist between two variables.
A Type II error occurs when:
a.
the null hypothesis is incorrectly rejected when it is true
b.
the test is biased
c.
the sample mean differs from the population mean
d.
the null hypothesis is incorrectly accepted when it is false
Which of the following is true of the null and alternative hypotheses?
a.
Exactly one hypothesis must be true
b.
both hypotheses must be true
c.
It is possible for both hypotheses to be true
d.
It is possible for neither hypothesis to be true