and Null Hypothesis
purpose of any research is to determine if your
theory is true or not based on statistical analysis.
A theory is an educated guess about a
relationship but in order for research to be
conducted on a theory, it must first be
To operationalized a theory, all variables
must be defined and the methods of conducting the
research must be determined.
Once this is done, the resulting statement
about the relationship is called a hypothesis.
The hypothesis is what gets tested in any
discussed in chapter one, every experiment has two
The null hypothesis states that there is no
change or difference as a result of the independent
In other words, work experience does not
result in a difference in grades among college
The alternative hypothesis states that there
is a change or difference.
When we perform statistics, we are always
testing for the null and therefore results of any
statistical procedures are always stated in regard
to the null hypothesis.
If we find that students with work experience
perform at the same level as those without work
experience, for example, our results show that there
is no difference.
We would therefore accept our null
If we find that one group performs
significantly different than the other, we would
then reject the null hypothesis, and by definition,
accept the alternative.