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08 May 17
farmerjohn"The correlation is one of the most common and most useful statistics. A correlation is a single number that describes the degree of relationship between two variables. Let's work through an example to show you how this statistic is computed."
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10 Dec 15
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A correlation is a single number that describes the degree of relationship between two variables. Let's work through an example to show you how this statistic is computed.
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A correlation is a single number that describes the degree of relationship between two variables.
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12 Nov 15
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03 Nov 15
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one of the most common and most useful statistics
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a single number that describes the degree of relationship between two variables
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The formula for the correlation is:
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r will always be between -1.0 and +1.0
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if it's positive, the relationship is positive
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if the correlation is negative, we have a negative relationship
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Once you've computed a correlation, you can determine the probability that the observed correlation occurred by chance
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a significance test.
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As in all hypothesis testing, you need to first determine the significance level
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compute the degrees of freedom or df
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equal to N-2
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one-tailed or two-tailed test
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if my correlation is greater than .4438 or less than -.4438 (remember, this is a two-tailed test
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I can conclude that the odds are less than 5 out of 100 that this is a chance occurrence
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correlation matrix
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variable names (C1-C10) down the first column and across the first row
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these are the correlations between each variable and itself (and a variable is always perfectly correlated with itself)
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formula that tells how many pairs (e.g., correlations) there are for any number of variables
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where N is the number of variables
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Pearson Product Moment Correlation
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appropriate when both variables are measured at an interval level
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if you have two ordinal variables
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Spearman rank Order Correlation (rho) or the Kendall rank order Correlation (tau)
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When one measure is a continuous interval level one and the other is dichotomous (i.e., two-category) you can use the Point-Biserial Correlation
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14 Sep 15
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A correlation is a single number that describes the degree of relationship between two variables. Let's work through an example to show you how this statistic is computed.
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18 Feb 15
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Correlation
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20 Dec 12
Judy Gauthier"Correlation
The correlation is one of the most common and most useful statistics. A correlation is a single number that describes the degree of relationship between two variables. Let's work through an example to show you how this statistic is computed.
Correlation Example" -
09 Nov 12
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18 Mar 12
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12 Aug 11
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21 Mar 11
Matthew RaganThe correlation is one of the most common and most useful statistics. A correlation is a single number that describes the degree of relationship between two variables. Let's work through an example to show you how this statistic is computed.
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03 Mar 11
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