Distributions and Data Representation

Clustered and relative frequencies

The organization of raw data is the first step before any visual or statistical analysis.

The frequency of a value is defined as the number of times that value appears in the set.

To handle large volumes of information, grouped frequency distributions are used, where values are organized into class intervals.

Relative frequencies, on the other hand, show the proportion or percentage that each category represents with respect to the total, which is ideal for comparing groups of different sizes.

There is also the cumulative distribution, which adds up the frequencies progressively to understand how many observations fall below a certain point, which is essential for establishing percentiles in screening tests.

Visualization through graphs and diagrams

Visual representation of findings is essential for communicating results in a cohesive and meaningful way to management.

In organizational psychology, various types of graphs are used depending on the nature of the data: bar charts are ideal for comparing categories; trend lines show the evolution of variables over time; pie charts illustrate proportions; and scatter plots visualize the relationship between two variables in correlational studies.

Effective visualization makes it possible to detect at a glance patterns, trends and distributions that might go unnoticed in complex numerical tables.

These graphic resources transform technical statistics into a strategic tool for diagnosis and organizational change.

Summary

Organizing raw data by frequencies is the first step in any visual analysis. Relative frequencies show percentages ideal for comparing groups of different sizes in the company.

The cumulative distribution allows percentiles to be established, which is essential for selection processes. Grouping values into class intervals facilitates the handling of large volumes of labor information.

Bar, line and scatter charts transform technical statistics into strategic tools. Effective visualization allows to quickly detect patterns and trends that guide diagnosis.