A histogram is most commonly used to analyze which of the following?

Question

BlackTom AI · Accepted Answer

When evaluating what a histogram is best suited to analyze, consider the nature of the data and what a histogram displays. 
Option 1: Time-series data. A histogram shows the distribution of a variable across a range of values, not necessarily across time. Time-series analysis typically uses line charts to show changes over time, seasonality, and trends, rather than a histogram of frequency counts. 
Option 2: Ordinal data. While histograms can be used with ordinal data, histograms for ordinal data require careful binning to reflect ordered categories. However, histograms are more broadly used for continuous data or discrete quantitative data to reveal distribution shape, spread, and central tendency. 
Option 3: Quantitative data. This is the classic use of histograms: plotting the frequency of observations across intervals (bins) of a continuous or discrete numeric variable to visualize distribution, skewness, modality, and spread. 
Option 4: Nominal level data. Nominal data represent categories without intrinsic order, and histograms are not ideal for representing frequencies of nominal categories unless the categories are treated as discrete bins; more common tools for nominal data include bar charts. 
In summary, a histogram serves to reveal the distribution characteristics of a numeric variable across its value range, i.e., quantitative data, rather than primarily illustrating time-based trends, ordered categories, or purely categorical nominal data via more typical chart forms.

OSC 2030-009 Fall 2025 SUBMIT: Graded Homework Module 1 (Chap 1&2)

A histogram is most commonly used to analyze which of the following?

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