heyaa____ ❤️what is difference between group and ungroup data ??❤️
Answers
The word data refers to information that is collected and recorded. It can be in form of numbers, words, measurements and much more.
There are two types of data and these are qualitative data and quantitative data. The difference between the two types of data is that quantitative data is used to describe numerical information. For instance, the measurement of temperature would fall under this kind of data.
On the other hand, qualitative data is used to describe information in words. After collecting data, it needs to be organized hence the need to separate grouped data from ungrouped data. Both are useful forms of data but the difference between them is that ungrouped data is raw data. This means that it has just been collected but not sorted into any group or classes. On the other hand, grouped data is data that has been organized into groups from the raw data.
Difference Between Grouped Data and Ungrouped Data
What is Grouped Data?
As mentioned above, grouped data is the type of data which is classified into groups after collection. The raw data is categorized into various groups and a table is created. The primary purpose of the table is to show the data points occurring in each group. For instance, when a test is done, the results are the data in this scenario and there are many ways to group this data. For example, the number of students that scored above each 20 mark can be recorded.
Alternatively, the grades can be used. For example, a 90-100 all the way to F 0-59 with each category showing how many students are in each category. Histograms and frequency table are best used to show and interpret grouped data. Here is an example
Difference between Grouped Data and Ungrouped Data
Grouping of data has the following advantages:
Helps in improving the efficiency of estimations.
Allows for greater balancing of statistical power of tests of the differences between strata by analyzing equal number from strata.
Irrelevant subpopulations are ignored while the significant ones are focused on.
What is Ungrouped Data?
Ungrouped data which is also known as raw data is data that has not been placed in any group or category after collection. Data is categorized in numbers or characteristics therefore, the data which has not been put in any of the categories is ungrouped. For example, when conducting census and you want to analyze how many women above the age of 45 are in a particular area, you first need to know how many people reside in that area.
The number of individuals residing in that area is ungrouped data or raw information because nothing has been categorized. We can therefore conclude that ungrouped data is data used to show information on an individual member of a sample or population.
Summary
Grouped data is data that has been organized into a frequency distribution whereas ungrouped data has not been summarized in any way.
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group or team concept is adopted by the organization, to accomplish various client projects. When two or more individuals are classed together either by the organization or out of social needs, it is known as a group. On the other hand, a team is the collection of people, who are linked together to achieve a common objective.
Most of the work in a business entity is performed in groups. Although the individual personality of an employee is important, their effectiveness depends on the teams in which they are working collectively to achieve any objective. In a particular team, there can be several groups in which the group members individually help their leader to accomplish the goals. Below you can see the difference between group and team in an organization, explained in tabular form.
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