Each panel of the binomial test table displays one binomial test. For example, the first panel displays the test of the null hypothesis that the proportion of churn for Basic service users is the same as the proportion of churn in the total sample.

- Of the 266 Basic service customers, 83 churned within the last month. The Observed Prop. column here shows that these 83 customers account for 31% of the total Basic service group in this sample.

- The test proportion of 0.27 suggests that we should expect 0.27 * 266, or about 72 customers, to have churned.

- The asymptotic significance value is 0.07, which is above the conventional cutoff for statistical significance (0.05). By that standard, you cannot reject the null hypothesis that the churn rate for basic service customers is equal to the churn rate in the sample at large.

- The same cannot be said for Plus service customers, however. In this case, the proportion, 0.16, is significantly lower than the test proportion. Many fewer Plus service customers found another service provider last month.

- At the other extreme, significantly more Total service customers were lost last month than the test proportion predicts.