Chapter 1:2 questions

Explain the difference between discrete and continuous variables.

Discrete variables assume values that can be counted, Continuous variables can assume an infinite number of values between any two specific values, are obtained by measuring, and often include fractions and decimals.

Name and define the four types of measurement levels used in statistics.

Nominal: classifies data into mutually exclusive (non-overlapping) categories in which no order or ranking can be imposed on the data. Ordinal: classifies data into categories that can be ranked; however, precise differences between the ranks do not exist Interval: ranks data, and precise differences between units of measure do exist; however, there is no meaningful zero. Ratio: possesses all the characteristics of interval measurement, and there exists a true zero. In addition, true ratios exist when the same variable is measured on two different members of the population.

Why are continuous variables rounded when they are used in statistical studies?

because of the limits of the measuring device, use boundaries to indicate a specific variable

Explain the difference between qualitative variables and quantitative variables

qualitative have distinct categories according to some characteristic or attribute and quantitative are variables that can be counted or measured