RUNS TESTS
2002-05-30 10:56:16
Using: D:\diehard2\data2.rpt
  Y column: 1)
Keep If:

Runs Test Above and Below the Median
  If nAbove>20 or nBelow>20, a test statistic, t, can be calculated and
    compared to a Student's t distribution (two-tailed, df=infinity).
    Otherwise, see specially tabulated critical values in Table AA in
    'Statistical Tables' (F.J. Rohlf and R.R. Sokal, 1995).
  If P<=0.05, there were fewer or more runs than would be expected by
    chance.  This implies that the events probably did not occur randomly,
    and that each event was probably not independent of the previous
    event.

Runs Test Up and Down
  If nTotal>=25, a test statistic, t, can be calculated and compared
    to Student's t distribution (two-tailed, df=infinity).  Otherwise,
    see specially tabulated critical values in Table BB in 'Statistical
    Tables' (F.J. Rohlf and R.R. Sokal, 1995).
  If P<=0.05, there were fewer or more runs than would be expected by
    chance.  This implies that the events probably did not occur randomly,
    and that each event was probably not independent of the previous
    event.

Y column: 1)
Runs Test Above and Below the Median
  Median  = 5.4994e11
  n total = 40175
  n above = 20087
  n below = 20087
  n runs  = 20146
  t       = 0.5787498
  P       = .5628 ns
Runs Test Up and Down
  n total = 40175
  n runs  = 26695
  t       = -1.033424
  P       = .3014 ns

RUNS TESTS 2002-06-06 18:01:49
Using: A:\DATA3.RPT Y column:
1) Keep If:
Y column: 1)
Runs Test Above and Below the Median
Median = 5.4921e11
n total = 47158
n above = 23579
n below = 23579
n runs = 23592
t = 0.1105193
P = .9120 ns
Runs Test Up and Down
n total = 47158
n runs = 31385
t = -0.575218
P = .5651 ns

 

DESCRIPTIVE STATISTICS
2002-05-30 10:57:46
Using: D:\diehard2\data2.rpt
Data Column: 1)
Broken Down By:
Keep If:
Lines: 4

Testing skewness=0 and kurtosis=0 tests if the numbers have a
  normal distribution.
If the probability that skewness equals 0 ('P(g1=0)') is <=0.05,
  the distribution is probably not normally distributed.
If the probability that kurtosis equals 0 ('P(g2=0)') is <=0.05,
  the numbers are probably not normally distributed.

 
Mean   550117010184
Sta. Dev 259892787997        
Sum 2.21009509e16
Minimum  1.0003e11
Maximum  9.9999e11  
n 40175
Coef. Var. %  47.2434773767
Variance   6.75442613e22
Sum X*X  1.48716322e28
Skewness (g1)   -0.0033874629 
S.E. g1 0.01222028876  
P(g1=0)   0 .7816 ns 
Kurtosis (g2)       -1.2041037103
S.E. g2  0.0244399693
P(g2=0)  0 .0000 ***