7 41,0 16,0 -0,417463 -0,660067
10 40,0 12,0 -0,53259 -0,842099
---------------------------------------------------------------------------------------------------Total 35,5 13,0 0,31557 0,99792
factor Kurtosis Stnd. kurtosis Coeff. of variation Sum
---------------------------------------------------------------------------------------------------1 0,705995 0,558138 9,13713% 309,0
4 -0,0153566 -0,0121405 15,7892% 421,0
7 -1,57369 -1,24411 22,5923% 516,0
10 -0,920744 -0,727912 21,095% 506,0
---------------------------------------------------------------------------------------------------Total -1,22168 -1,93165 27,1992% 1752,0
The StatAdvisor
--------------This table shows various statistics for abserv for each of the 4
levels of factor. The one-way analysis of variance is primarily
intended to compare the means of the different levels, listed here
under the Average column. Select Means Plot from the list of
Graphical Options to display the means graphically.
WARNING: There is more than a 3 to 1 difference between the smallest
standard deviation and the largest. This may cause problems since the
analysis of variance assumes that the standard deviations at all
levels are equal. Select Variance Check from the list of Tabular
Options to run a formal statistical test for differences among the
sigmas. You may want to consider transforming the values of abserv to
remove any dependence of the standard deviation on the mean.
ANOVA Table for abserv by factor
Analysis of Variance
----------------------------------------------------------------------------Source Sum of Squares Df Mean Square F-Ratio P-Value
----------------------------------------------------------------------------Between groups 1842,53 3 614,178 18,30 0,0000
Within groups 1879,07 56 33,5548
----------------------------------------------------------------------------Total (Corr.) 3721,6 59
The StatAdvisor
--------------The ANOVA table decomposes the variance of abserv into two
components: a between-group component and a within-group component.
The F-ratio, which in this case equals 18,3037, is a ratio of the
between-group estimate to the within-group estimate. Since the
P-value of the F-test is less than 0,05, there is a statistically
significant difference between the mean abserv from one level of
factor to another at the 95,0% confidence level. To determine which
means are significantly different from which others, select Multiple
Range Tests from the list of Tabular Options.
Table of Means for abserv by factor
with 95,0 percent LSD intervals
-------------------------------------------------------------------------------Stnd. error
factor Count Mean (pooled s) Lower limit Upper limit
-------------------------------------------------------------------------------1 15 20,6 1,49566 18,4814 22,7186
4 15 28,0667 1,49566 25,9481 30,1853
7 15 34,4 1,49566 32,2814 36,5186
10 15 33,7333 1,49566 31,6147 35,8519
-------------------------------------------------------------------------------Total 60 29,2
The StatAdvisor
--------------This table shows the mean abserv for each level of factor. It also
shows the standard error of each mean, which is a measure of its
sampling variability. The standard error is formed by dividing the
pooled standard deviation by the square root of the number of
observations at each level. The table also displays an interval
around each mean. The intervals currently displayed are based on
Fisher's least significant difference (LSD) procedure. They are
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