How to Use This Table
|
This table contains the critical values of the
chi-square distribution. Because of the
lack of symmetry of the chi-square distribution, separate tables are
provided for the upper and lower tails of the distribution.
A test statistic with degrees of
freedom is computed from the data. For upper one-sided tests, the test
statistic is compared with a value from the table of upper critical
values. For two-sided tests, the test statistic is compared with values
from both the table for the upper critical value and the table for
the lower critical value.
The significance level, , is
demonstrated with the graph below which shows a chi-square distribution
with 3 degrees of freedom for a two-sided test at significance level
= 0.05. If the test statistic
is greater than the upper critical value or less than the lower critical
value, we reject the null hypothesis. Specific instructions are given
below.
Given a specified value for :
- For a two-sided test, find the column corresponding to
/2 in the
table for upper critical values and reject the
null hypothesis if the test statistic is
greater than the tabled value. Similarly, find the
column corresponding to 1 -
/2
in the table for lower critical values
and reject the null hypothesis if the test statistic
is less than the tabled value.
- For an upper one-sided test, find the column corresponding to
in the upper critical
values table and reject the null hypothesis if the
test statistic is greater than the tabled value.
- For a lower one-sided test, find the column corresponding to
1 -
in the
lower critical values table and reject
the null hypothesis if the computed test statistic is
less than the tabled value.
|