# (Solution) Math 225N Week 1: Basic Statistics Data Used in Everyday Life

Present two different types of data, or variables, used in the health field.  Examples could be blood pressure, temperature, pH, pain rating scales, pulse oximetry, % hematotcrit, minute respiration, gender, age, ethnicity, among many others.  Then classify each of those variables as qualitative vs quantitative as well as nominal, ordinal, interval or ratio and justify your classifications.  Finally, explain one type of analysis that could be done with one or both of the variables you selected.  Your responses to other students can explain additional analyses that could be done with the variables they selected.

Solution:

The variables that are presented in this case are gender and blood temperature. Qualitative and quantitative variables are differentiated based on whether they can be measured numerically (Peat & Barton, 2008). Gender is a qualitative variable because it is impossible to measure it numerically. Blood temperature is a quantitative variable since it can be measured numerically. With the further classification of these variables, it can be said that gender is a nominal variable because no natural ordering occurs to determine the type of gender. In this case, there is no natural order occurring that, say, for instance, determines the number of male and female in a given location. On the other hand, blood temperature can be classified as an interval variable because the differences in numbers depict real differences in…Please click the Paypal icon below to purchase full solution for only \$5