Page 52 - Quantitative Data Analysis
P. 52
Quantitative Data Analysis
Simply Explained Using SPSS
Critical Values
The critical value(s) separates the rejection region from the non-
rejection region. The critical value for specific distribution can be
found from tables (Z table, t table, or F table) which is available at
the end of this book. It is important to know the level of
significance, direction of hypothesis to obtain critical value from
table and in some cases degree of freedom is also required to get
critical value.
Critical values are the values that separate the distribution into
regions where the null hypothesis will be rejected or regions where
the null hypothesis will failed to be rejected. The rejection region is
the range of values for which the null hypothesis is not probable.
The rejection region is the range of values for which the null
hypothesis is not probable.
4. It is always in the direction of the alternative hypothesis.
5. Its total area is equal to α.
6. If a value is so extreme that it falls in the rejection region,
your conclusion is to reject the null hypothesis
If observed test statistics falls in rejection region then reject null
hypothesis.
The Theory and Applications of Statistical Inferences 36
