src/test/resources/org/apache/commons/math3/stat/data/Mavro.txt

File Name:     Mavro.dat

File Format:   ASCII
               Header          : lines  1 to  60     (= 60)
               Certified Values: lines 41 to  43     (=  3)
               Data            : lines 61 to 110     (= 50)

Dataset Name:  Mavro (Filter Transmittance Data)

Description:   This is an observed/"real world" data set
               consisting of 50 transmittance measurements
               (at a sampling rate of 10 observations per second)
               from a filter with a nominal value of 2.
               The experimenter was Radu Mavrodineaunu,
               a member of the chemistry staff at NIST.
               We here use this data to test accuracy
               in summary statistics calculations.

Stat Category: Univariate: Summary Statistics

Reference:     None

Data:          "Real World"
               1    Response          : y = transmittance
               0    Predictors
               50   Observations

Model:         Lower Level of Difficulty
               2    Parameters        : mu, sigma
               1    Response Variable : y
               0    Predictor Variables

               y    = mu + e






                                                  Certified Values
Sample Mean                                ybar:  2.00185600000000
Sample Standard Deviation (denom. = n-1)      s:  0.000429123454003053
Sample Autocorrelation Coefficient (lag 1) r(1):  0.937989183438248

Number of Observations:                              50













Data: Y
-------------
   2.00180
   2.00170
   2.00180
   2.00190
   2.00180
   2.00170
   2.00150
   2.00140
   2.00150
   2.00150
   2.00170
   2.00180
   2.00180
   2.00190
   2.00190
   2.00210
   2.00200
   2.00160
   2.00140
   2.00130
   2.00130
   2.00150
   2.00150
   2.00160
   2.00150
   2.00140
   2.00130
   2.00140
   2.00150
   2.00140
   2.00150
   2.00160
   2.00150
   2.00160
   2.00190
   2.00200
   2.00200
   2.00210
   2.00220
   2.00230
   2.00240
   2.00250
   2.00270
   2.00260
   2.00260
   2.00260
   2.00270
   2.00260
   2.00250
   2.00240