The Chi-Square Table (Chapter 17)
The chi-square table: The degrees of freedom for a given test are listed in the column to the far left; the level of significance is listed in the top row to the right. These are the only two values you need to find the critical values for a chi-square test.
Increasing k and a in the chi-square table
.10 |
.05 |
.01 |
|
k = 10 |
___ |
___ |
___ |
k = 16 |
___ |
___ |
___ |
k = 22 |
___ |
___ |
___ |
k = 30 |
___ |
___ |
___ |
Note: Because there is only one k given, assume this is a goodness-of-fit test and compute the degrees of freedom as (k − 1).
Table:
degrees of freedom=(k-1) |
0.1 |
0.05 |
0.01 |
|
k=10 |
9 |
14.684 |
16.919 |
21.666 |
k=16 |
15 |
22.307 |
24.996 |
30.578 |
k=22 |
21 |
29.615 |
32.671 |
38.932 |
k=30 |
29 |
39.087 |
42.557 |
49.588 |
As the level of significance increases from 0.01 to 0.1 the critical values are decreasing. It means that the confidence level is decreasing when the critical values are decreasing.
As the ‘k’ values are increasing the critical values are increasing. It means that as increases sample size the critical values are increasing. Greater sample size gives significant results.
The Chi-Square Table (Chapter 17) The chi-square table: The degrees of freedom for a given test...
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