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They are related but one might not be causing the other
Teleimoana Finau
Anonymous
They are related but one might not be causing the other
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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.
When should relative frequencies be used when comparing two data sets?
When comparing large data sets.
What is the null hypothesis tested by an ANOVA?
ANOVA test null hypothesis is the means among two or more data sets are equal.
What does a double bar graph compare in two sets of data?
When you are talking about data that is not continous. When you are talking about data that is not continous.
What is the meaning of confounding in statistics?
In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
If two sets of data are correlated this means that?
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.
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.
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.
What is the null hypothesis tested by an ANOVA?
ANOVA test null hypothesis is the means among two or more data sets are equal.
What way can you compare two data sets displayed in histograms?
You can see where the data is clustered
How does a scatter plot relate two sets of data?
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
