quantified data can be used like this in research.
Example:
How old are you?
Answer:
a. 12
b. 23
c. 31
d. 45
e. 56
f. 70 and above
(this is used in a survey)
A.K.A you need a numerical data
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metadata is "data about data". There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content.
Ungrouped data is data that is not grouped in a specific order. Grouped data is a set of data that has unique characteristics in common.
primary data structures
primary data structures
Rainfall is quantified and measured accurately using rain gauges, which are instruments that collect and measure the amount of precipitation that falls in a specific area over a certain period of time. The collected data is then used to calculate the average rainfall in that area.
Sociology is considered a science because it involves systematic methods of empirical research, analysis of data as well as assessment of data. It also asks questions which van be quantified.
Quantcast uses pixel data if you are quantified. Compete and comScore offer competing products as well.
Favorite color is qualitative data because it represents a characteristic or quality, rather than a numerical value. It cannot be measured or quantified in a numerical sense.
Quantitative observation is a type of observation that involves measuring or counting a specific characteristic or property of an object or phenomenon. It focuses on numerical data or information that can be quantified and compared. This type of observation is especially useful in scientific research to gather precise and measurable data.
Qualitative data include descriptive information that cannot be easily quantified. Examples include observations, interviews, open-ended survey responses, and focus group discussions. Qualitative data provide insights into attitudes, beliefs, motivations, and behaviors.
Manifest variables are directly observable and measurable in research studies. By utilizing manifest variables, researchers can ensure that the data collected is accurate and reliable. This is because manifest variables provide clear and concrete data points that can be easily quantified and analyzed, leading to more precise results in data analysis.
Numerical information is data that is expressed in numbers or mathematical values. This type of information can be quantified and used for calculations, comparisons, and analysis. Examples include measurements, statistics, and financial figures.
the heat generated could not be quantified.
Qualitative 100% its that and not quantitative The variable is qualitative because it is an attribute characteristic.
Measurable things can be quantified or observed, such as weight, temperature, or distance. Immeasurable things cannot be easily quantified or observed, such as emotions, personal beliefs, or creativity.
That can't be quantified.