P-values for the significant net difference test

In significant net difference tests, the P-values are printed in the ntd column in place of the value returned by the T statistic. Here is the same table as in Example of a significant net difference test, but with P-values instead of the value of the T statistic shown in the ABCD column.

                          London           Manchester
                       ------------      --------------
                                Does               Does
                                 Not                Not
               TOTAL   Works    Work      Works    Work    ABCD
                         (A)     (B)        (C)     (D)

TOTAL           1800     572     440        382     384
Past 7 days       23      35      20         23      11   0.432
1-2 weeks         15      19      15         12      11   0.208
2-4 weeks         13      15      10         17      11   0.894
1-3 months        12       8      15         23       6   0.000
3-6 months         6       8       5          6       6   0.241
Over 6 months      6       4       5          6      11   0.059
Never tried non-  24      12      30         14      43   0.008
alcoholic wine
-----------------------------------------------
NTD: Columns Tested (5% risk level) - A/B/C/D

The P-value is the probability that the difference is significant. In this table, any value less than or equal to 0.05 indicates a difference that is significant at the 95% confidence level or higher.

The P-values in this example show highly significant differences in the 1-3 months and Never tried rows. The differences between columns A and B are significantly different from the differences between columns C and D. No other rows have significant differences at the 95% confidence level.