So, we have a chi-square value that we calculated, called chi-square-calc (0.166) and a chi-square value that we looked up, called chi-square-crit (3.84). Comparing these two values, we find that our chi-square-calc is much smaller than the chi-square-crit (0.166 < 3.84), which means the deviations were small and the model fits the data.

This supports the engineer's hypothesis that sick days were random.

So employees are probably really sick and not out fishing on those Mondays and Fridays.