You can't average means with standard deviations. What are you trying to do with the two sets of data?
The line and the bar graph is used to describe a graph that compares two sets of data.
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
If you have 2 sets of data, one that is independent and one that is dependent (I will assume this because relating two sets of unrelated data is useless), then you plot the independent on the x and the dependent on the y and assess how y changes in relation to x
Regression.
they are related, but one might not be causing the other.
They are related but one might not be causing the other
they are related, but one might not be causing the other
Correlation.
You can't average means with standard deviations. What are you trying to do with the two sets of data?
Comparing the relationship of two data sets is needed to see which of the two sets have more life distribution. Two data sets involve the use of simple plotting and contour plots.
The preposition "with" should follow the word "correlated." For example: "The data suggests that these two variables are strongly correlated with each other."
When comparing large data sets.
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.
The line and the bar graph is used to describe a graph that compares two sets of data.
ANOVA test null hypothesis is the means among two or more data sets are equal.
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.