Answer:
Histogram: A histogram is useful for displaying the distribution of test scores. It divides the range of scores into intervals or bins and shows the frequency or relative frequency of scores falling into each bin. Histograms provide a visual representation of the central tendency, spread, and shape of the distribution.
Box Plot (Box-and-Whisker Plot): A box plot summarizes the distribution of test scores by displaying key summary statistics such as the median, quartiles, and any outliers. It provides a visual depiction of the spread of scores, including the minimum and maximum values, as well as any potential skewness or symmetry in the distribution.
Scatter Plot: A scatter plot can be used if you want to explore the relationship between test scores and another variable, such as study time or previous performance. Each data point represents a student's score on one axis and their corresponding value on the other variable on the other axis. Scatter plots are useful for identifying patterns, trends, or correlations in the data.
Cumulative Frequency Plot (Ogive): An ogive is a line graph that represents the cumulative frequency or cumulative relative frequency of test scores. It shows how many students scored at or below a certain score. Ogives are helpful for understanding the cumulative distribution of scores and identifying percentiles or thresholds.
Step-by-step explanation: