Basic Statistics

**Size**is the sample size or number of observations (n).

**Missing**tells you the number of cells in your column that did not have entries.**Mean**is the sample mean (Xbar): Sum divided by Size**Std Dev**is the sample standard deviation (s).**Std Error**is the sample standard error (SEM): Std Dev divided by the square root of Size.**Range**is the largest value minus the smallest value: Max - Min.**Max**is the largest value.**Min**is the smallest value.

**Median**is the median**25%**is the first quartile**75%**is the second quartile**Sum**is the sum of the observations**Sum of Squares**is the sum of the squared observations: This is**NOT**the sum of squares as we have used this term, however it is used in the "machine" formula for the calculation of the sum of squares.**CI**(originally labeled Confidence) is the quantity added and subtracted from the sample mean to get the upper and lower confidence limits:

Std error multiplied by t_{0.05(2),36}= 0.0415 * 2.028.

Thus the lower confidence limit (L_{1}) = mean - CI = 4.651 - 0.0841 = 4.5670

The upper confidence limit (L_{2}) = mean - CI = 4.651 + 0.0841 = 4.735.**Skewness**is g_{1}**Kurtosis**is g_{2}

**K-S Distance**is the Kmolgorov-Smirnoff Goodness of Fit statistic**P Value**is the value used to test the hypothesis that the data come from a normal distribution (we will cover this part later).

While in SigmaStat, if you click on

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