However, we need counts in order to do the chi-squared test, not percentages. The results are then rounded to the nearest integer, because Minitab's chi-squared procedure requires integers. Now we are ready to do the chi-squared test. Finally, the chi-squared statistic and degrees of freedom are printed. The chi-squared statistic is a measure of how well the data fit the null hypothesis that the two samples come from the same population.
Large values indicate a bad fit.
But, it can be obtained from Minitab's cumulative distribution function of the chi-squared distribution with three degrees of freedom. We conclude that there is no significant difference between the results of the two polls. The discrepancies between the two polls could well have been due to sampling error. The approximation is considered reliable if the expected counts are large enough. Various books give different criteria for how small is too small, but almost all would agree that there is no concern when the smallest expected count exceeds 5.