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# Quantitative Data|Definition & Meaning

## Definition

Quantitative data includes data that can be exactly counted or measured. For example, “the new PlayStation costs 50 dollars less than the new Xbox” is quantitative data on the relative costs of two gaming consoles. Similarly, the number of balls in an urn can be counted, so this is also quantitative data.

The **value** of the data is **expressed** as counts or numbers in **quantitative** data, and every data set has its own **specific numerical** value.

This data refers to any **information** that may be **quantified** and used by **researchers** for the sake of **mathematical** computations and **statistical analysis,** with the **end goal** of basing real-world judgments on the **conclusions** drawn from these **mathematical derivations.**

As an **illustration,** there are **quantities** that correlate to the many **different** parameters. For **instance,** a question like “How much did this **laptop** cost?” is an example of a **quantitative** data **collection inquiry.**

Most **measuring** parameters have values majority of **measuring** parameters have **values** that are **connected** with them, **including** pounds or **kilograms** for **mass,** dollars for **cost,** and so on. The below **figure** represents the **quantitative** data in form of a dot plot **figure.**

Because the **mathematical derivations** that come with them are so **simple** to **work with,** it makes it **possible** to **manipulate** the many **parameters** that are **being measured.**

It is typically gathered for the **purpose** of **statistical** analysis through the use of **polls** or **questionnaires** that are **distributed** to a certain subset of a population. **Researchers** are able to **determine** whether or not the **retrieved** results are **representative** of a **population. The **figure below represents the stem leaf plot.

## List of Quantitative Information Categories With Examples

The **following** are the most **prevalent** varieties of **quantitative** values:

### Counter

**Entities** counted as one. A good example would be the **popularity** of an app as **measured** by its **downloads** on the **App** Store.

### Physical Object Dimensions

**Determine** the exact size of a real **object** using a **calculator.** In one **scenario,** a **human** resources **manager** makes sure each new hire’s **cubicle** is just the right size.

### Sensory

Sensory **calculation** refers to a mechanism that can **“sense”** the measured **parameters** in order to generate a **reliable** data stream. For instance, the **electromagnetic** data **captured** by a digital camera is **transformed** into a series of numbers.

### Information Projection

**Algorithms, together** with other mathematical **analysis techniques,** can be used to **project** data into the future. A **marketer,** for instance, might do an in-depth investigation and forecast an **uptick** in sales **following** the **introduction** of a brand-new product.

### Finding a Number for Intangible Things

**Connect qualitative** data with **numerical indicators.** In an **online** survey, for instance, **respondents** could be **asked** to rate the **likelihood** of a **recommendation** from 0 to 10.

## Types of Quantitative Data

**Quantitative** data **comes** in two main forms **which** are as **follows:**

discrete and **continuous.**

### Discrete Data

**Quantitative** data which can only be a **certain** number is **called** “discrete data.” There is no way to **break** these **values** down. **Counting** something gives you discrete data. One **illustration** of discrete data is that a person **seems** to have three children. There is a set **number** of children, so they can’t have, **speak,** 3.2 **children.**

The **number** of people who **visit** your website is **another illustration** of discrete quantitative data. You could have **150 people** visit your site in one day, but not 150.6. Most of the time, tally **charts,** bar **graphs,** as well as pie charts are used to show discrete data.

### Continuous Data

In **contrast** hand, there is no limit to **how** many times you can break up **continuous** data into **smaller** pieces. This **kind** of **data** can be put on a scale, like the length of such a **string** piece in **centimeters** or the heat in **degrees Celsius.** Basically, **continuous** data can have any value; that’s not **restricted** to fixed values.

Also, **continuous** data can **change** over time. For **example,** the room **temperature** would then change **during** the day. Usually, a line **graph** is used to **show continuous** data.

## Examples of Quantitative Information

Here are some **numerical examples** that may shed **light** on the topic at **hand:**

**During**the past**three months,**I have updated my phone six times.- During the past year, my
**adolescent**has gained three inches in height. - Eighty-three users
**installed**the newest mobile app. - Over the
**course**of last year, my aunt shed 18**pounds.** - There were 150 people
**who**thought the new product feature would fail. - An additional 30% in
**earnings**is expected after a new product is introduced. - The event was attended by 500
**participants.** - There is a clear
**preference**for online shopping, with 54% of consumers choosing this**method**over a trip to the mall. - This is the
**year**with the most vacation days for her, with a total of 10. - The price of a single X is
**$1,000.**

As you can see from the **10** examples above, each **parameter** is given a **number** value. This is called **quantitative** data.

## The **Benefits** of Quantitative Data

Some **benefits** of **quantitative** data **include:**

### Thoroughly Researched

Since **quantitative** analysis can be **done statistically,** it’s likely that the **research** will be **thorough.**

### Minimal Bias

There are **times** when **personal** bias gets in the way of research and leads to **wrong** results. Because **quantitative** data is made up of **numbers,** there is much **less** room for **personal** bias.

### Very Accurate Results

Because the **results** are based on **facts,** they are very **accurate.**

## The Downsides of Relying on Quantitative Data

The **following** are some of the **drawbacks** of using **quantitative** data. Because the **quantitative** approach isn’t really **descriptive,** it is **challenging** for **researchers** to take **decisions** based only on the information that has been **obtained.** This **makes** it **challenging** for **researchers** to make **decisions.**

### Depends on the Types of Questions

The kinds of ques**t**ions used to collect **quantitative** information can **influence** the **degree** of bias in the results. **During** the **process** of gathering quantitative data, it is of the utmost **importance** that the **researcher** has a **thorough understanding** of the **questions** being **asked** and the **purpose** of the **research.**

When doing an **investigation,** one of the best **ways** to get reliable results that help you make **better decisions** is to use **quantitative** data. In short, **statistical** analysis is based on **quantitative** data.

**Data** that can be **measured** and **confirmed** gives us **information concerning** amounts, **which** is data that can be **quantified** and **expressed** using **numbers.** A **number** is defined by quantitative data, whereas qualitative data includes descriptive.

## Numerical Example With Quantitative Data

### Example

A **survey** is **carried** out in **order** to collect data on the **number** of **hours,** on **average,** that people spend **watching football matches** each week. The **findings** are as follows:

- 15
**individuals**have**reported**watching**between**0 and 9**hours**per week. - There are 12
**people**who report viewing**between**6 and 10**hours**per week, and - There
**are**8**people**who report watching**between**11 and 15 hours per week. - Five
**persons**have said that they**watch**for at least 16 hours every**week.**

**What** is the **quantitative** data in this **question?**

### Solution

Within the **context** of the above-given **information,** the quantitative **approach** (hours per week) is just **being** gathered **and quantified, turning** it into an example of **quantitative** data.

*All mathematical drawings and images were created with GeoGebra.*