📤Variable
A property that can take any value. Such as:
I. Quantitative Variables
Numeric Quantities like:
| Description | Value | |
|---|---|---|
1 | Height | 5' 6", 120 CM |
2 | Weight | 40 KG, 74 KG |
3 | Age | 25, 37, 48 |
Type 1: Discrete Variable
Only take on a finite or countably infinite set of values.
| Description | Example Values |
|---|---|
Number of students in a classroom | 1, 2, 3, ..., 30 |
Outcomes of rolling a six-sided dice | 1, 2, 3, 4, 5, 6 |
Number of cars passing through a toll booth in an hour | 0, 1, 2, 3, ... |
Type 2: Continuous Variable
Take on an infinite number of values within a given range. These values are not countable and can vary smoothly across a continuum. Continuous variables are typically measurements and often include fractions and decimals.
| Description | Example Values |
|---|---|
Height of students in a classroom | 5.4 feet, 5.45 feet ... |
Amount of time it takes to complete a task | 3.5 hours, 3.55 hours ... |
Temperature measured during a day | 22.3°C, 22.35°C ... |
Why you kept hours or minutes in Continuous ?
When we consider measurements like time (hours, minutes, seconds), we generally classify them as continuous variables, even though they are often represented with discrete numbers in many practical situations.
The reason behind this classification stems from the nature of the measurement:
Potential for Infinite Division: Time can be divided infinitely finer, beyond just hours and minutes, into seconds, milliseconds, microseconds, and so forth. This ability to measure time at progressively smaller intervals without a theoretical limit on how finely it can be divided is a characteristic of continuous variables.
Measurement Precision: The precision of measuring instruments also supports the notion of continuity. For example, a stopwatch might measure time to the nearest hundredth of a second, suggesting a continuum of possible measurements within any given second.
Real-world Application: Conceptually, any moment in time can be described with great precision if the appropriate tools are available. For instance, scientific experiments often require extremely precise time measurements that go well beyond the usual divisions of hours and minutes, supporting the view of time as a continuous variable.
II. Qualitative / Categoric Variables
A. Gender
| Sl. No | Gender |
|---|---|
1 | Male |
2 | Female |
B. IQ
| IQ Score Range | Interpretation |
|---|---|
130 and above | Extremely high |
120-129 | Very high |
110-119 | High average |
90-109 | Average |
80-89 | Low average |
70-79 | Very low |
69 and below | Extremely low |
C. Blood Groups
| Sl. No. | Blood Group |
|---|---|
1 | A |
2 | B |
3 | AB |
4 | O |
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