A survey handed out to individuals at a major shopping mall in a small Florida city in July asked the following: ■ Gender ■ Age ■ Ethnicity ■ Length of residency ■ Overall satisfaction with city services (using a scale of 1–5, ranging from poor to excellent) ■ Quality of schools (using a scale of 1–5, ranging from poor to excellent) What types of data (categorical, ordinal, interval, or ratio) do each of the survey items represent and why? Evans, James R.. Business Analytics (p. 165). Pearson Education. Kindle Edition.

Categorical represent the gender type of data.The ratio represents the age type of data. Ethnicity data is categorical.Length of residency represents the ratio type of data. Overall satisfaction with city services data is ordinal.The quality of schools data is also ordinal.What types of data (categorical, ordinal, interval, or ratio) does each of the survey items represent and why?The types of data represent the survey items are as follows;1. Categorical represent the gender type of data which is sorted into two categories which are male and female there is no numerical value.2. The ratio represents the age type of data. each person represents their age in numerical value which can not be negative.3. Ethnicity data is categorical as the various ethnicities to which those surveyed can belong are separate categories. There are no numerical values involved.4. Length of residency represents the ratio type of data. the long duration is measured in a number of years, thus having a numerical value.5. Overall satisfaction with city services data is ordinal as it is based on a ranking from poor to excellent.6. The quality of schools data is also ordinal as it involves a ranking or definite ordering of data - from poor to excellent.To know more about Data types click the link given below.