You make comparisons between their mean or median, their spread - as measured bu the inter-quartile range or standard deviation, their skewness, the underlying distributions.
double bar graphs are used for comparing data between 2 different things.
bar graphs are useful for comparing data b/c you cn actually see what the difference is between them.
The way you can use graphs of polynomial functions to show trends in data is by comparing results between different functions. The alternation between the data will show the trends. Time can also be used to show the amount of variation.
when comparing two sets of data... ex. lets say you are comparing the amount of cookies your friend has and how many you have. he/she has 2 and you have 4. you would show the bars side by side in different colors that way you can tell the difference between them and see the relationship of the two pieces of data. hope this helped :)
When comparing large data sets.
Comparing in the science process involves looking at different objects or phenomena to identify similarities and differences, leading to a better understanding of their properties or behaviors. It helps scientists draw conclusions, make predictions, or establish relationships between variables. Comparing is an essential step in scientific inquiry to analyze data and draw valid conclusions.
so you know the relationship between the 2 variables
Bar charts are most useful for comparing discrete categories or groups of data. They are effective in displaying the distribution or relationship between different variables in a visually clear and concise manner.
The difference between data and information is that one is spelt incorrectly.
when i am comparing data
A chi-square test is used when analyzing categorical data, such as comparing proportions or frequencies between groups. On the other hand, a t-test is used when comparing means between two groups. So, use a chi-square test when dealing with categorical data and a t-test when comparing means.
You use it when you are comparing data.