Asurvey 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.

GENDER is ORDINAL data. It is placed into an order or scale.

AGE is RATIO data because it has no negative numerical values. The data is continuous, and have a meaningful zero point, for example, the birth of a person. Age can also be measured in an INTERVAL scale.

ETHNICITY is CATEGORICAL data. It has a set numbers of category.

LENGTH OF RESIDENCY is a RATIO data but can also be measured in an INTERVAL scale.

OVERALL SATISFACTION WITH CITY SERVICE is ORDINAL data. It provides good information about the order of choices, it can be scaled in scale ratio of 1 to 5.

QUALITY OF SCHOOL is ORDINAL data. It also gives good information about choices. It has a ratio scale of 1 to 5.

step-by-step explanation:

step 1: solve one of the equations for one of the variables. let's solve the first equation for y:

step 2: substitute that equation into the other equation, and solve for x.

step 3: substitute x = 4 x = 4 x=4 into one of the original equations, and solve for y.

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step-by-step explanation: