Final answer:
The expected count for a specific cell in a contingency table cannot be computed without a dataset. Information on confidence intervals and sample sizes is provided, but they are not directly relevant to calculating expected counts in this context.
Step-by-step explanation:
The expected count for the cell corresponding to cities with more than 250,000 residents whose name has less than 8 characters cannot be determined from the information provided. The computation of such expected counts typically involves a contingency table with categorical data, and the question seems to pertain to a specific case that requires a dataset not provided.
To compute an expected count in a contingency table, one would typically use the formula: Expected Count = (Row total × Column total) / Grand total. However, without the data broken down into specific categories to form a contingency table, this calculation cannot be performed.
In the context of a survey on cell phone ownership, the analysis might include calculating confidence intervals to estimate the true proportion of adults residents with cell phones, or sample size calculations to ensure a specific margin of error at a given confidence level.