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Does scatter analysis use data that is counted in six sigma?
yes
What is quantitative discrete data?
Quantitative discrete data refers to numerical values that can only take specific, distinct values, often counted in whole numbers. Examples include the number of students in a classroom or the number of cars in a parking lot. This type of data is characterized by gaps between the values, as it cannot assume fractions or decimals. Discrete data contrasts with continuous data, which can take any value within a given range.
Data granularity in a data warehouse?
Granularity refers to the level of detail of the data stored fact tables in a data warehouse. High granularity refers to data that is at or near the transaction level. Data that is at the transaction level is usually referred to as atomic level data. Low granularity refers to data that is summarized or aggregated, usually from the atomic level data. Summarized data can be lightly summarized as in daily or weekly summaries or highly summarized data such as yearly averages and totals.
Continuous random variables are obtained from data that can be measured rather than counted?
true
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 data referes thing that can be counted?
what data is used to show things that can be counted
What data refers to things that are measured?
continuous data
Which type of data refers to things that can be counted?
A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.
What data can be referred to things that can be counted?
A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.
What are values that have been measured or counted?
They are data.
What is a definition of discrete data?
data that can be counted, that does not show a change over time
Managing data is?
Managing data refers refers to tho the receipt, processing, retrieving and the storage of data.
Data that consist of observations that can only be classified and counted by category and have no inherent order?
It is qualitative data.
Can a data type be called a data structure?
Yes, they can be used interchangeably, but they usually mean separate things. A type of data is something like an integer, or string. While a data structure usually refers to a linked list or tree of integers or strings.
What isDifference between primary and secondary statistic data?
Primary data refers to data that is obtained from a first-hand experience. Secondary data, on the other hand, refers to data that has been gathered by others.
Does scatter analysis use data that is counted in six sigma?
yes
What is the difference between meta data and data?
Metadata is data that provides information about other data. It describes the characteristics of the data, such as its format, structure, and context. Data, on the other hand, refers to the actual information or content that is being described by the metadata. In simple terms, metadata is data about data.
