Give two examples each of nominal, ordinal, and ratio scale data. for the ratio scale data indicate whether these are continuous or discrete variables.

Examples are given below, an ratio scale is a continuous scale

Explanation:

The nominal scale is the first level of measurement, it is called the categorical variable and defined in terms of labeling. An example where do you live 1. city, 2. town, 3. suburb. Other examples of nominal scale are gender, political preference, and place of residence. The ordinal scale is the second level of measurement or simply depicts the ordered variables. Examples of ordinal scale are the order of product quality, the status of the workplace. Variables can vary from grade, satisfaction, and happiness. The ratio scale is the fourth level of measurement. It measures the variable from the order of true zero. Inferential and descriptive analysis is used to apply on variables. Some examples of ratio scales are height, weight less than 5 feet, less than 50 kgs. The ration scale based on absolute zero, so money is measured on the ratio scale thus this scale shows continuous data. As magnitudes of data are the same as in case of heart rate, blood pressure, distance.

Europeans are more concentrated in urban areas.

So  if  the sum of the enthalpies of the reactants is greater than the products, the  reaction  will be  exothermic.  if  the products side has a larger enthalpy, the  reaction  is  endothermic. you may wonder why  endothermic reactions, which soak up energy or enthalpy from the environment, even happen