You can compare by seeing where the maximum, minimum, and median are in the histogram s and by also seeing where the histograms cluster at.
When you are talking about data that is not continous. When you are talking about data that is not continous.
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
you use it to compare 2 different sets of data
To compare any two sets of data !
Easy to compare multiple continuous data sets
You can see where the data is clustered
To compare two data sets displayed in box plots, you can analyze their medians, which indicate the central tendency of each data set. Additionally, examine the interquartile ranges (IQRs) to assess the spread and variability, as a larger IQR suggests more dispersion in the data. It's also important to look for overlap between the box plots, which can indicate similarity or differences in data distributions. Finally, consider any outliers that may affect the interpretation of the data sets.
When you are talking about data that is not continous. When you are talking about data that is not continous.
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
Charts allow you to visualize data. If you choose the correct chart for the data, you will be able to compare data sets to each other and to the entire universe of data sets in the chart.
The answer will depend on what you wish to compare. There are different methods to compare the means, variances as well as other characteristics of the two sets.
Bar graphs can compare two sets of data, as well as line graphs and circle graphs. To better improve my answer, double line graphs and double bar graphs compare two sets of data. Circle graphs cannot however, because they compare parts of a whole instead of, as a bar graph would, the amount of something. A circle graph is also incapable of showing data growth over a period of time, as line graphs do. All in all, circle graphs cannot compare to sets of data, and bar graphs and line graphs must be doubled to do so.
you use it to compare 2 different sets of data
You can use a stacked bar chart.
To determine which data set has a greater spread, you can compare their measures of variability, such as the range, variance, or standard deviation. A larger range or higher variance/standard deviation indicates a greater spread, meaning the values are more dispersed from the mean. Visualizations like box plots or histograms can also help illustrate the spread. Ultimately, without specific data sets provided, a direct comparison can't be made.
To compare any two sets of data !
Easy to compare multiple continuous data sets