Final answer:
We do not always reference 'The Snowfall Intensities as a Function of Prevailing Visibility table' to determine snowfall intensity as multiple methods could be employed. The use of such a table is dependent on its relevance and accuracy for the specific study. For analyzing data like the ski resort visitors, statistical analysis such as ANOVA may be utilized.
Step-by-step explanation:
The question refers to whether we always use the "The Snowfall Intensities as a Function of Prevailing Visibility table" to determine snowfall intensity. This seems to be a specific reference to a technique or a standard chart used in environmental science or meteorology, which is often interdisciplinary but can be closely aligned with statistics when interpreting data.
When it comes to determining the snowfall intensity, multiple methods could be employed depending on the context and available resources. While the mentioned table might be a useful tool, it's not always the case that it is the only source of reference for such information. Professionals might use a variety of observational data, models, and other references to determine snowfall intensity.
In relation to the example given, where there is a concern about whether the mean numbers of daily visitors to a ski resort remain constant across different types of snow conditions, a statistical analysis would be necessary. This could involve hypothesis testing to compare means, perhaps using an Analysis of Variance (ANOVA) if we are comparing more than two means. Such decisions often depend on the data at hand and the results of the study as mentioned in "Table 13.27" from the question.
In academic and scientific research, appropriate referencing to sources of information, methods, and data including tables like the one mentioned in the question are crucial for verification and replication of results. However, one would normally refer to a variety of resources, and usage of a specific table would be determined by its relevance and accuracy in relation to the specific study or set of conditions being evaluated.