how to calculate correlation with mean and standard deviation?
97336
['Find the mean of all the x-values.', 'Find the standard deviation of all the x-values (call it sx) and the standard deviation of all the y-values (call it sy). ... ', 'For each of the n pairs (x, y) in the data set, take.', 'Add up the n results from Step 3.', 'Divide the sum by sx ∗ sy.']
6719
['On the Data tab, in the Analysis group, click Data Analysis. ... ', 'Select Correlation and click OK.', 'For example, select the range A1:C6 as the Input Range.']
226931
Standard deviation is calculated as: The mean value is calculated by adding all the data points and dividing by the number of data points. The variance for each data point is calculated, first by subtracting the value of the data point from the mean.
23311
['Work out the mean.', 'Then for each number: subtract the Mean and square the result.', 'Then work out the mean of those squared differences. To work out the mean, add up all the values then divide by how many. But hang on ... ... ', 'Take the square root of that:']
380752
['Click Analyze -> Descriptive Statistics -> Descriptives.', 'Drag the variable of interest from the left into the Variables box on the right.', 'Click Options, and select Mean and Standard Deviation.', 'Press Continue, and then press OK.', 'Result will appear in the SPSS output viewer.']
613177
Example: Population standard deviation Step 2: Subtract the mean from each score. Step 3: Square each deviation. Step 4: Add the squared deviations. Step 5: Divide the sum by the number of scores.
190650
['Step 1: Calculate the mean of the data—this is xˉx, with, \\bar, on top in the formula.', 'Step 2: Subtract the mean from each data point. ... ', 'Step 3: Square each deviation to make it positive.', 'Step 4: Add the squared deviations together.', 'Step 5: Divide the sum by one less than the number of data points in the sample.']
884202
['The mean value is calculated by adding all the data points and dividing by the number of data points.', 'The variance for each data point is calculated, first by subtracting the value of the data point from the mean. ... ', 'The square root of the variance—result from no.']
693534
To calculate the standard deviation, you need to determine the variance: Find the mean, or average, of the data points by adding them and dividing the total by the number of data points. ... The standard deviation is simply the square root of the resulting variance.
530590
['Find the mean by using the AVERAGE function: =AVERAGE(B2:B7) ... ', 'Subtract the average from each number in the sample: ... ', 'Square each difference and put the results to column D, beginning in D2: ... ', 'Add up the squared differences and divide the result by the number of items in the sample minus 1:']
211525
['Calculate the mean (simple average of the numbers).', 'For each number: subtract the mean. Square the result.', 'Add up all of the squared results.', 'Divide this sum by one less than the number of data points (N - 1). ... ', 'Take the square root of this value to obtain the sample standard deviation.']
232066
['Calculate the average (mean) price for the number of periods or observations.', "Determine each period's deviation (close less average price).", "Square each period's deviation.", 'Sum the squared deviations.', 'Divide this sum by the number of observations.']
1281193
Find the mean, or average, of the data points by adding them and dividing the total by the number of data points. Subtract the mean from each data point and square each one. Find the average of each of those squared differences. The standard deviation is simply the square root of the resulting variance.
952896
There are four steps to finding the standard deviation of random variables. First, calculate the mean of the random variables. Second, for each value in the group (45, 40, 25, and 12), subtract the mean from each and multiply the result by the probability of that outcome occurring.
963714
['Calculate the mean of your data set.', 'Subtract that mean from each of the scores in your data set to determine the individual deviation of each score from the mean.', 'Square each of those individual deviations.', 'Sum all of the squared deviations.', 'Divide that sum by one less than the sample size (N–1)']
773121
['Find the mean of the set of the numbers.', 'For each individual number in the set, calculate the difference between that number and the mean.', 'Square each of those differences.', 'Average together those new squared values.', 'Calculate the square root of the average of the squared values.']
882853
Another way to calculate the correlation coefficient (r) is to multiply the slope of the regression line by the standard deviation of X and then divide by the standard deviation of Y. Covariance: a measure of how much two variables change with respect to one another.