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Center. Graphically, the center of a distribution is the point where about half of the observations are on either side. Spread. The spread of a distribution refers to the variability of the data. Shape. Unusual features.
Most recent answer. One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of difference. This will measure how many sets from the Set are in close match with the single 4 sample set.
Conclude that the populations are different. Transform your data. Ignore the result. Go back and rerun the t test, checking the option to do the Welch t test that allows for unequal variance. Use a permutation test.
Select the two columns that you want to compare. In the Home tab, click Conditional Formatting. Click on Highlight Cell Rules, and then go straight to More Rules and click on it. Here you will find many options.
If the sample sizes in the two groups being compared are equal, Student's original t-test is highly robust to the presence of unequal variances. Welch's t-test is insensitive to equality of the variances regardless of whether the sample sizes are similar.
That is, a function which, given two data sets X and Y, returns a real number that measures their similarity. In this paper, the similarity is established in the sense that one-dimensional data sets are similar simply by comparing the statistics of the variables in each data set.
Copy the data from your first source into Excel. Enter a name in the Source column to track the source of these rows. Append data from your second source data, without headers, in Excel just below the data from your first source.
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