1. To organize data in a meaningful, intelligible way.
2. To enable the reader to determine the nature or shape of the distribution.
3. To facilitate computational procedures for measures of average and spread.
4. To enable the researcher to draw charts and graphs for the presentation of data.
5. To enable the reader to make comparison among different data sets.
Organizing the data into a frequency distribution may make patterns within the data more evident.
Simple frequency distribution is a method of organizing large data sets into more easily interpreted sets. An example is organizing sample test scores by the individual scores.
Organizing the data into a frequency distribution can make patterns within the data more evident.
frequency distribution contain qualitative data
A frequency distribution of numerical data where the raw data is not grouped.
The reason for organizing, analyzing and classifying data is find out the data relates. The relationship between the elements of a data will form the basis of the information.
anonymously
frequency distribution
Frequency in data analysis is determined by counting the number of times each unique value or category appears within a dataset. This involves organizing the data into a frequency distribution, which lists each distinct value alongside its corresponding count. Frequency can be presented in different forms, such as absolute frequency, relative frequency (proportion of total), or cumulative frequency, depending on the analysis requirements. Analyzing frequency helps identify patterns, trends, or anomalies within the data.
histogram?
. It is to organize raw data
The data values with the highest frequency, gives the peak of the distribution graph.