What analysis method allows an analyst to examine responses to one question in conjunction with responses to other questions?

Cross Tabulation is the correct analysis method for examining responses to one question in conjunction with responses to other questions. This technique enables analysts to create a matrix that displays the relationship between two or more categorical variables. By organizing data in this way, analysts can observe how different groups respond to various questions and identify patterns or trends within those responses.

For example, if you wanted to analyze customer satisfaction across different age groups, cross tabulation would allow you to see how satisfaction levels vary by age category. This can provide valuable insights for decision-making and help businesses tailor their strategies accordingly.

Statistical sampling focuses on selecting a subset of a population to estimate characteristics, while descriptive statistics summarize data points and provide simple summaries about the sample. Regression analysis, on the other hand, explores relationships between variables but typically requires a more complex framework involving dependent and independent variables. None of these methods directly enable the simultaneous examination of responses across multiple questions in the straightforward way cross tabulation does.