Table B.1 : Critical Values of
the Chi, G, & t distributions
(for
p = 0.05)
- G-values for evaluating the null hypothesis of "no difference"
between the observed distribution and the
expected distribution
at the alpha significance level of p = 0.05.
- t-values for evaluating the null hypothesis of "no difference"
vs. the alternative of "difference" between two
means at the alpha significance
level of p = 0.05.
If the calculated value exceeds the tabulated one, reject the
null hypothesis at p = 0.05.
df G (or Chi-square) t (2-tailed test)
1 3.8
12.71
2 6.0
4.3
3 7.8
3.18
4 9.5
2.78
5 11.1
2.57
6 12.6
2.45
7 14.1
2.36
8 15.5
2.31
9 16.9
2.26
10 18.3
2.23
11 19.7
2.20
12 21.0
2.18
13 22.4
2.16
14 23.7 2.14
15 25.0
2.13
16 26.3
2.12
17 27.6
2.11
18 28.9
2.10
19 30.1
2.09
20 31.4
2.09
25 37.6
2.06
30 43.8 2.04
40 55.8
2.02
60 79.1
2.00
infinity -
1.96
© Cody Arenz, Garry Duncan, & Nebraska Wesleyan University