1. The chi-squared test of independence only detects linear association between the variables in a contingency table.
2. A statistically significant x2 in the test of independence implies a causal relationship between the variables that define a contingency table.
3. The expected size of the chi-squared statistic x2 increases with the number of observations n in the table.
4. Tables with more rows and columns on average produce larger values of x2 than tables with fewer rows and columns when the null hypothesis of independence is true.
5. The smallest possible value of x2 is zero.