- What is Quantitative Data
- Continuous Quantitative Data
- Discrete Quantitative Data
- Help Image
- Other Types of Quantitative Data

**> Quantitative data can be:**

- counted
- measured

**It's ... NUMERICAL!**

**> Examples of quantitative data include:**

- the weight of VW buses
- the wingspan of eagles
- the number of cars passing through an intersection each hour

**> What's CONTINUOUS quantitative data?**

- there's an
*infinite*number of possible values for each outcome - when you take measurements, it's usually continuous data you're finding!

**But...but...**

- You're right! - that doesn't mean the
of values you'd measure would be infinite.*range*

**> Examples of CONTINUOUS quantitative data include:**

- the surface water temperature of the Lincoln Park swimming pool (64.1, 62.8, 63.5, 65.0 ºF)
- the hopping height of your pet jackrabbit (1.86, 2.41, 2.09, 2.11 m)
- the weight of CMU football players

**> So while there's likely an upper limit to the weight of a CMU football player...there's an infinite # of exact hopping ****heights**** that could be measured.**

**> What's DISCRETE quantitative data?**

- data with a limited # of possible outcome values
- when you are counting sometime to collect data, it's often discrete!

**> Examples of DISCRETE quantitative data include**...

- # of passengers in a car
- # of phone calls an office receives each day
- # of puppies in a litter
- # of credit hours registered for per student per semester

**> Interval**

- Intervals between values are
**known** - Intervals between values are
**equal** - Example: temperature
- Interval from 50°F to 60°F is known
- Interval from 50°F to 60°F and 80°F to 90°F is equal

**Where might I see INTERVAL data:**usually within data collected in environmental science

**> Ratio**

- A special case of
**INTERVAL data** - Interval data that
**starts at 0** **Where will I see RATIO data:**environmental science - experimental research**Example:**rainfall- starts at 0 inches (can't have negative rainfall!)
- difference between 2 and 4 inches is known
- difference between 2 and 4 inches = difference between 10 and 12 inches

**Example:**whale mass- starts at 0 (though no whale will weigh 0, they couldn't weigh LESS than 0!)

**> Ordinal **

- data has a
**relevant order** - magnitude between values is
**unknown**or**unequal** **When will I see ORDINAL data:**survey data with ranked responses**Example:**a satisfaction scale- scale from 1 to 5 (with 5 as highest satisfaction)
- 5 = better than 3
- 4 = better than 2
- difference between 5 & 3?
*unknown* - difference between 4 & 2?
*unknown*

- There's an
**order**but the interval**differences aren't necessarily meaningful**

- scale from 1 to 5 (with 5 as highest satisfaction)

- Last Updated: Jul 6, 2020 4:15 PM
- URL: https://libguides.coloradomesa.edu/SSdataviz2016
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Subjects: Student Showcase

Tags: charts, data, data visualization, graphs, student showcase, tables