Exploring One–Variable Data
If data analysis shows that students who participate in sports have higher GPAs, what should be concluded about this association?
When comparing the distributions of two different classes' test scores, which graphical representation would allow you to see both the center and spread for each class's scores on the same graph?
Which type of graph is most similar to dotplots?
When constructing a box plot of a dataset, what subtle feature would suggest the presence of potential outliers if the interquartile range is relatively small?
What conclusion might one draw regarding possible economic trends when histograms of household incomes over several years begin to show increasingly bi-modal distributions?
In examining residual plots for linearity assumption verification after linear regression analysis, what pattern would indicate potential violation?
What does the shape of the distribution in a box plot highlight about the data?
How are we doing?
Give us your feedback and let us know how we can improve
When considering skewness in data representation, what graphical form will allow us to easily identify whether a skewed distribution exists?
Which of the following is an example of a discrete variable?
To compare centers spreads multiple datasets from small samples easiest format visually digest quickly could be employed?