A bar graph
A bar graph is commonly used to compare data from different categories. It displays rectangular bars with lengths proportional to the values they represent, allowing for easy visualization of differences between categories. Each bar represents a distinct category, making it straightforward to compare their values side by side.
For scores measured on a nominal scale, a bar chart is the most appropriate frequency distribution graph. This type of graph displays categories as distinct bars, allowing for easy comparison of the frequency of each category. Since nominal data represents qualitative differences without any inherent order, the bars should not touch, emphasizing that the categories are separate and unrelated.
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An ordinal graph is a type of graph used in data visualization that represents ordered categories or rankings. In this graph, the x-axis typically represents the ordinal categories, while the y-axis displays a quantitative measure associated with each category. Unlike nominal graphs, which depict unordered categories, ordinal graphs emphasize the inherent order of the categories, making them useful for showing trends and comparisons within ranked data. Common examples include bar charts and line graphs that illustrate ordinal data such as ratings or rankings.
A discrete graph is a type of graph that represents data points as distinct, separate values rather than continuous lines. In a discrete graph, the points are plotted individually, often connected by lines or left unconnected, to illustrate relationships between the variables. This type of graph is commonly used in situations where the data involves distinct categories or counts, such as the number of students in different classes or the results of a survey.
A bar graph is commonly used to compare data from different categories. It displays rectangular bars with lengths proportional to the values they represent, allowing for easy visualization of differences between categories. Each bar represents a distinct category, making it straightforward to compare their values side by side.
Yes, a bar graph typically has gaps between the bars. These gaps indicate that the data represents distinct categories, emphasizing that the values are not continuous. In contrast, a histogram, which displays frequency distributions, does not have gaps because it represents continuous data.
a bar graph is a graph that displays data using bars and a line graph is a graph that displays data in a line
The graph that displays data using line segments is a line graph.
There are quite a few such graphical and textual displays.crosstabulations and contingency tableshistogramspie graphs
A histogram graph displays continuous data. The data is displayed in ordered columns. Example of data that can shown by a histogram graph is time, inches, and temperature.
A bar graph displays data in a side-to-side direction, typically using horizontal bars to represent different categories. Each bar's length corresponds to the value it represents, allowing for easy comparison between categories. Horizontal bar graphs are particularly useful when category names are long or when there are many categories.
A line graph.
For scores measured on a nominal scale, a bar chart is the most appropriate frequency distribution graph. This type of graph displays categories as distinct bars, allowing for easy comparison of the frequency of each category. Since nominal data represents qualitative differences without any inherent order, the bars should not touch, emphasizing that the categories are separate and unrelated.
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An ordinal graph is a type of graph used in data visualization that represents ordered categories or rankings. In this graph, the x-axis typically represents the ordinal categories, while the y-axis displays a quantitative measure associated with each category. Unlike nominal graphs, which depict unordered categories, ordinal graphs emphasize the inherent order of the categories, making them useful for showing trends and comparisons within ranked data. Common examples include bar charts and line graphs that illustrate ordinal data such as ratings or rankings.
A histogram.