The variable age remains a quantitative continuous variable but the variable we are working on (i.e., the number of weeks since birth) is a quantitative discrete variable. So, what does that mean? For the discrete variable, we know that to be its ability to be countable while for the continuous variable we know it to take on infinite values. Let's take age as an example. To learn about the different data types in R, read “Data types in R”. Services. For example length/height/weight can be measure as continuous as it has not set number
Despite the numerical classification, the variable gender is still a qualitative variable and not a discrete variable as it may look. Bessie may give 4.17 gallons on Monday, 3.89 gallons on Tuesday, and 4.2 gallons on Wednesday.
The difference is explained in the following two sections. 0000014614 00000 n For non-overlapping or otherwise known as mutually inclusive classification, wherein the both the class limit are included, is applicable for the discrete variable. - Examples & Concept, Factor Analysis: Confirmatory & Exploratory, Confounding Variables in Statistics: Definition & Examples, Discrete & Continuous Data: Definition & Examples, Beta Distribution: Definition, Equations & Examples, Find the Mean & Standard Error of the Sampling Distribution, Applying Conditional Probability & Independence to Real Life Situations, Finding & Interpreting the Expected Value of a Discrete Random Variable, NC EOC Assessment - Math I: Test Prep & Practice, BITSAT Exam - Math: Study Guide & Test Prep, CSET Math Subtest I (211): Practice & Study Guide, High School Algebra II: Homework Help Resource, High School Algebra I: Homework Help Resource, NY Regents Exam - Geometry: Help and Review. 0000035980 00000 n In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. c. discrete ratio. There is no in-between value like 0.5 heads and 0.5 tails. On the contrary, for overlapping or say mutually exclusive classification, wherein the upper class-limit is excluded, is applicable for a continuous variable. It has numerical meaning and is used in calculations and arithmetic. This type of variable can only be certain specific values. On the other hand, a qualitative ordinal variable is a qualitative variable with an order implied in the levels. In case you're curious, I'm 34.594! By measuring the exact time it took for pops to slow down to the point of having two seconds in between each pop, my niece was able to collect several values of x, where x was the continuous variable that measured the time it took for a bag of popcorn to pop. For example: For simplicity, we usually referred to years, kilograms (or pounds) and centimeters (or feet and inches) for age, weight and height respectively. 0000013578 00000 n For all measurements, we usually stop at a standard level of granularity, but nothing (except our measurement tools) prevents us from going deeper, leading to an infinite number of potential values. Anyone can earn 0000027935 00000 n
0000003007 00000 n All other trademarks and copyrights are the property of their respective owners. The fact that the values can take an infinite number of possibilities makes it uncountable. A quantitative variable where there is a continuous (no infinite number) of attributes. There is no in-between value like 0.5 heads and 0.5 tails. Quantitative Variables .
quantitative variable or a continuous quantitative variable?
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