What type of chart helps visualize the frequency distribution of data?

What type of chart helps visualize the frequency distribution of data?

• A. Flowchart
• B. Pareto chart
• C. Histogram
• D. Scatter diagram

Answer: (C)

A histogram is a graphical representation that organizes a group of data points into specified ranges, known as bins. It helps in visualizing the frequency distribution of a dataset by displaying how many data points fall into each bin. The height of each bar in the histogram indicates the number of observations within that particular range. This allows for an easy interpretation of the distribution of data, including aspects such as the central tendency, variability, and the presence of any skewness or outliers. In contrast, a flowchart is used to depict processes or workflows, mapping out each step in a visual format without focusing on frequency distribution. A Pareto chart is designed to identify and prioritize problems or causes, based on their frequency or significance, but it specifically highlights the most important factors rather than focusing purely on the distribution of data. Lastly, a scatter diagram illustrates the relationship between two quantitative variables, highlighting correlations but not the frequency of data points within defined ranges.

A histogram is a graphical representation that organizes a group of data points into specified ranges, known as bins. It helps in visualizing the frequency distribution of a dataset by displaying how many data points fall into each bin. The height of each bar in the histogram indicates the number of observations within that particular range. This allows for an easy interpretation of the distribution of data, including aspects such as the central tendency, variability, and the presence of any skewness or outliers.

In contrast, a flowchart is used to depict processes or workflows, mapping out each step in a visual format without focusing on frequency distribution. A Pareto chart is designed to identify and prioritize problems or causes, based on their frequency or significance, but it specifically highlights the most important factors rather than focusing purely on the distribution of data. Lastly, a scatter diagram illustrates the relationship between two quantitative variables, highlighting correlations but not the frequency of data points within defined ranges.