The Ritz-Carlton Hotel used a customer opinion questionnaire...

The Ritz-Carlton Hotel used a customer opinion questionnaire to obtain performance data about its dining and entertainment services (The Ritz-Carlton Hotel, Naples, Florida, February 2006 ). Customers were asked to rate six factors: Welcome, Service, Food, Menu Appeal, Atmosphere, and Overall Experience. Data were recorded for each factor, with I for Fair, 2 for Average, 3 for Good, and 4 for Excellent. a. The customer responses provided data for six variables. Are the variables categonical or quantitative? b. What measurement scale is used?

The Ritz-Carlton Hotel used a customer opinion questionnaire to obtain performance data about its dining and entertainment services (The Ritz-Carlton Hotel, Naples, Florida, February 2006 ). Customers were asked to rate six factors: Welcome, Service, Food, Menu Appeal, Atmosphere, and Overall Experience. Data were recorded for each factor, with I for Fair, 2 for Average, 3 for Good, and 4 for Excellent.
a. The customer responses provided data for six variables. Are the variables categonical or quantitative?
b. What measurement scale is used?

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Key Concepts

Ordinal Measurement Scale

An ordinal measurement scale is used when data can be ordered or ranked but the intervals between ranks are not necessarily equal or known. In rating systems, such as those for assessing quality or satisfaction, respondents indicate their level of approval using categories that have an inherent order, making the data ordinal even if numbers are assigned to these categories.

Categorical vs Quantitative Variables

This concept involves distinguishing between data types where categorical variables represent qualitative traits or classifications (such as levels of satisfaction) and quantitative variables represent numeric values that can be measured and subjected to arithmetic operations. When numbers are used to denote ordered categories (for instance, ratings), they are still considered categorical if the numbers merely serve as labels rather than indicating true numerical differences.

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