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Q: If two sets of data is correlated this means that?
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If two sets of data are correlated this means that?

they are related, but one might not be causing the other.


If two sets of data are correlated this means?

They are related but one might not be causing the other


What does it mean if two sets of data are correlated?

they are related, but one might not be causing the other


What word means the relationship between two sets of data?

Correlation.


I have two data sets with the same number of values with means x1 and x2 and standard deviations of n1 and n2. How do you average means with standard deviations?

You can't average means with standard deviations. What are you trying to do with the two sets of data?


The description of the relationship between two data sets?

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.


What preposition should follow the word correlated?

The preposition "with" should follow the word "correlated." For example: "The data suggests that these two variables are strongly correlated with each other."


When should relative frequencies be used when comparing two data sets?

When comparing large data sets.


How do I use statistics to properly compare two data sets with different spreads?

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.


What is used to describe a graph that compares two sets of data?

The line and the bar graph is used to describe a graph that compares two sets of data.


What is the null hypothesis tested by an ANOVA?

ANOVA test null hypothesis is the means among two or more data sets are equal.


Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?

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.