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Which characteristic best distinguishes quantitative data from qualitative data?
The primary characteristic that distinguishes quantitative data from qualitative data is that quantitative data is numerical and can be measured or counted, allowing for statistical analysis and objective comparisons. In contrast, qualitative data is descriptive and subjective, focusing on characteristics, themes, or qualities that cannot be easily quantified. While quantitative data answers "how much" or "how many," qualitative data explores "why" or "how" regarding a phenomenon.
What is Mikes shoe size Is it statistical or non-statistical?
Mike's shoe size is a specific measurement and can be quantified, making it a statistical piece of information. It falls within a range of possible sizes and can be analyzed within a population. However, without additional context or data about a group, it does not provide broader statistical insights on its own.
Which sentence in the passage should be supported with facts or statistics?
The sentence that should be supported with facts or statistics is typically one that makes a claim or assertion that can be quantified or verified. For example, if the passage states that "a significant number of people are affected by this issue," it would benefit from supporting data to illustrate the extent of the problem. Providing facts or statistics enhances credibility and helps readers understand the impact of the statement.
Data formats and data collection?
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..
Which of these is an example of a type of technology used to collect data-?
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.
How is rainfall quantified and measured accurately?
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.
Why sociology is considered a social science?
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.
What is a good measurement of web popularity besides Alexa?
Quantcast uses pixel data if you are quantified. Compete and comScore offer competing products as well.
What is a data that is obtained by counting?
Data obtained by counting is referred to as "discrete data." This type of data consists of distinct, separate values that can be counted and quantified, such as the number of students in a classroom or the number of cars in a parking lot. Discrete data is often represented in whole numbers and can be analyzed using various statistical methods. It contrasts with continuous data, which can take on any value within a range.
What is gatobyte?
Gatobyte is a data measurement unit that represents one billion gigabytes, or 10^9 gigabytes. It is part of the binary prefix system, where data storage and transmission capacities are quantified. While not commonly used, it illustrates the exponential growth of data storage needs in the digital age, especially as technologies advance and data generation increases.
Is favorite color qualitative or quantitative?
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.
What is quantitine observation?
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.
Examples of qualitative 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.
What represents the amount of data that travels over a network?
The amount of data that travels over a network is typically represented by bandwidth, which measures the maximum data transfer rate of a network connection. Bandwidth is often expressed in bits per second (bps), with higher values indicating the capacity to transfer more data simultaneously. Additionally, data usage can be quantified in terms of data volume, measured in bytes, which reflects the total amount of data transmitted during a specific period.
How can the manifest variable be utilized to enhance the accuracy and reliability of data analysis in research studies?
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.
What is information which is numerical?
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.
What are the physics of kissing?
the heat generated could not be quantified.
