**See also:** Quantitative Qualitative Quandary Quantity Quantify Quantum Quan Quane Quants Quantis Quang Quante Quanted Quantez Quanto Quantic Quantifiable

**1.** *Quantitative data* is, quite simply,** information that can be quantified.** It can be counted or measured, and given a numerical value—such as length in centimeters or revenue in dollars

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**2.** *Quantitative data* tends to be structured in nature and is suitable …

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**3.** *Quantitative data*: Definition *Quantitative data* is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated …

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**4.** *Quantitative data* is** the type of data whose value is measured in the form of numbers or counts, with a unique numerical value associated with each data set.** Also known as numerical data, *Quantitative data* further describes numeric variables (e.g.

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**5.** In statistics, *Quantitative data* is** numerical and acquired through counting or measuring and contrasted with qualitative data sets, which describe attributes of objects but do not contain numbers.** There are a variety of ways that *Quantitative data* arises in statistics

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**6.** Each of the following is an example of *Quantitative data*:

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**7.** Now, *Quantitative data* are** data that take on numerical values,** and** that is why Quantitative data is also referred to as numerical data.** For example, suppose I were to ask you your height, age, grade point average, or the the amount of time you study each day, I would be asking you to identify a numerical or countable value or variable.

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**8.** There are two types of data.** Qualitative data** is descriptive information about characteristics that are difficult to define or measure or cannot be expressed numerically.** Quantitative data** is numerical information that can be measured or counted.

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**9.** With current technologies, it is possible for almost anyone to distill *Quantitative data* into text, or more visually, into a table or chart

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**10.** What is** Quantitative data**? Contrary to qualitative data,

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**11.** Discrete *Quantitative data* takes on fixed numerical values and cannot be broken down further

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**12.** Continuous *Quantitative data* can be placed on a continuum and infinitely broken down into smaller units

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**13.** *Quantitative data* stands in contrast to qualitative data, which is descriptive data

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**14.** *Quantitative data* analysis is one of those things that often strikes fear into students when they reach the research stage of their degree.It’s totally understandable – *Quantitative data* analysis is a complex topic, full of daunting lingo like medians, modes, correlation and covariance.Suddenly we’re all wishing we’d paid a little more attention in math class.

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**15.** *Quantitative data* is a bit like a countable noun

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**16.** Here are some example of *Quantitative data*: A jug of milk holds one gallon

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**17.** *Quantitative data* are used when a researcher is trying to quantify a problem, or address the "what" or "how many" aspects of a research question

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**18.** *Quantitative data* is the language of science

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**19.** *Quantitative data* depends on the fact that you can put everything in terms of numbers.

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**20.** Of *Quantitative data* analysis required at the university and research level

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**21.** *Quantitative data* is a type of data that deals with measurable information

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**22.** All data that is quantifiable, verifiable, and amenable to statistical manipulation classifies as *Quantitative data*.

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**23.** *Quantitative data*, as the name suggests is one which deals with quantity or numbers

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**24.** It refers to the data which computes the values and counts and can be expressed in numerical terms is called *Quantitative data*

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**25.** *Quantitative data* may be used in computation and statistical test.

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**26.** *Quantitative data* is data that can be expressed and analyzed numerically

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**27.** *Quantitative data*: "*Quantitative data* differs fundamentally from qualitative data ." Related Psychology Terms

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**28.** Illustrated definition of *Quantitative data*: Data that can be: counted (called discrete data) or measured (called continuous data)

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**29.** *Quantitative data* is any data that is in numerical form such as statistics, percentages, etc

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**30.** *Quantitative data* is often contrasted to qualitative data

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**31.** However, qualitative and *Quantitative data* can both be used to investigate the same research question and reach the same

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**32.** The main difference between qualitative and *Quantitative data* is that qualitative data is descriptive, while *Quantitative data* is numerical

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**33.** Usually, statistical analysis is easier with *Quantitative data* than qualitative data

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**34.** *Quantitative data* is easier to measure and study than qualitative data since numeric values are easier to analyze

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**35.** The advantages of *Quantitative data* is that it can be objectively measured and presented and it explains the observed phenomena more accurately since numerical values are obtained through systematic process of observation and

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**36.** *Quantitative data* can also allow you to be more precise with particular statements

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**37.** *Quantitative data* Analysis: Meaning, Steps, and Types

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**38.** *Quantitative data* analysis ends with easy to understand and quantifiable results

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**39.** But before starting the analysis you have to define the level of measurement involved in the *Quantitative data*.

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**40.** Definition: *Quantitative data* is data expressing a certain quantity, amount or range

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**41.** *Quantitative data* is any quantifiable information that can be used for mathematical calculation or statistical analysis

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**42.** *Quantitative data* is used to answer questions like how many?

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**43.** *Quantitative data* is any data that is in numerical form

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**44.** The following are common types of *Quantitative data*.

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**45.** *Quantitative data* are much easier to analyze than qualitative data, which are descriptive and open to inte

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**46.** *Quantitative data* is a set of numbers collected from a group of people and involves statistical analysis.For example if you conduct a satisfaction survey from participants and ask them to rate their experience on a scale of 1 to 5.

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**47.** *Quantitative data* collection methods are much more structured than Qualitative data collection methods

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**48.** *Quantitative data* collection methods include various forms of surveys – online surveys, paper surveys , mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online

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**49.** *Quantitative data* is data that can be measured numerically

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**50.** Whereas *Quantitative data* is important in determining the particular frequency of traits or characteristics, the sizes, and dimensions of objects, and that sort of information about a given topic, qualitative data like the color of hair or skin of employees in a company or the healthiness of a pet's coat can be important in statistical analysis, especially when paired with *Quantitative data* about these …

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**51.** Identify how to display *Quantitative data* through tables, as well as best practices you should follow; Explore other graphical representations of the data and determine which method is the best choice for the data on hand; Practice building these visualizations to further your understanding of them

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**52.** *Quantitative data* collection methods are much more structured; they include various forms of surveys – online surveys, paper surveys, mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations

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**53.** However, *Quantitative data* can also be put into categories—more on this later

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**54.** *Quantitative data* synonyms, *Quantitative data* pronunciation, *Quantitative data* translation, English dictionary definition of *Quantitative data*

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**55.** Regarding the use of *Quantitative data* from surveys, it is a long and well-established tradition in the social sciences of using surveys to document and to produce knowledge about social phenomena.

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**56.** *Quantitative data* is excellent at providing answers to what, who and when questions

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**57.** Combining thise research method with *Quantitative data* provides more context to …

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**58.** Qualitative and *Quantitative data*

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**59.** Examples of *Quantitative data* are scores on achievement tests,number of hours of study, or weight of a subject

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**QUANTITATIVE DATA**

There are two types of quantitative data, which is also referred to as numeric data: **continuous and discrete**. As a general rule, counts are discrete and measurements are continuous.

Quantitative data is defined as the value of data in the form of counts or numbers where each data -set has an unique numerical value associated with it.

Quantitative data is data that can be measured numerically. Things that can be measured precisely -- rather than through interpretation -- such as the **number of attendees at an event, the temperature in a given location, or a person's height in inches** can be considered quantitative data.

Quantitative data is the **language of science**. It uses **mathematical models, theories, and hypotheses**. Thanks to this type of data, we know things like the distance between the sun and the moon, and why we have seasons, days, and nights. Quantitative data depends on the fact that you can put everything in terms of numbers.