Exploring One–Variable Data
If a dot plot of data shows that the majority of dots are clustered around the mean, what does this indicate about the distribution?
When comparing a linear regression model to a quadratic model using residual plots, which pattern would indicate that the linear model is less appropriate for the dataset?
What type of plot shows the relationship between two quantitative variables?
Which type of graph would be most appropriate for displaying the distribution of a categorical variable?
What does a longer upper whisker (right-hand whisker) in a box plot indicate about the data?
When using a scatterplot to explore the relationship between two quantitative variables, what can indicate that linear regression may not be the best model choice?
What conclusion can often be drawn when comparing two histograms where one has wider spread but similar center compared to another?
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Which feature in a box plot indicates the presence of potential outliers in the data set?
How might interaction between variables be detected when examining parallel boxplots pertaining to test scores affected by both gender identity socioeconomic status taken together rather separately?
In an experiment studying reaction times under different noise levels, which graphical representation could effectively compare median reaction times across several noise conditions?