Exercise №2. Estimation of numerical characteristics

Statistic parameters (ex.1) varies in some range with an standard deviation(“ a standard mistake ”):

1) For arithmetic mean at absence correlation inside lines (autocorrelation)

Exercise №2. Estimation of numerical characteristics - student2.ru (1)

At presence correlation inside lines (autocorrelation) and small autocorrelation coefficient application of dependence (23) is supposed

Exercise №2. Estimation of numerical characteristics - student2.ru (2)

2) For coefficient of variation Cv at absence autocorrelation inside lines

Exercise №2. Estimation of numerical characteristics - student2.ru (3)

At presence autocorrelation inside lines in case Cs=2Cv

Exercise №2. Estimation of numerical characteristics - student2.ru (4)

3) For factor of asymmetry at Cs=2Cv and absence autocorrelation inside lines (formula of Reznikovsy)

Exercise №2. Estimation of numerical characteristics - student2.ru (5)

4) For correlation coefficient (formula of Romanovsky)

Exercise №2. Estimation of numerical characteristics - student2.ru (6)

At n> 25 use of dependence (7) is supposed

Exercise №2. Estimation of numerical characteristics - student2.ru (7)

For autocorrelation coefficient the formula changes a little

Exercise №2. Estimation of numerical characteristics - student2.ru (8).

It is given: the data of observation (tab. 1; ex. №1); a significance level – 5 %; normal distrbution.

The task:

1) Define a significance level and a confidence interval;

2) To calculate error of estimation of for arithmetic mean, Cv, Cs, r(autocorrelation coefficient.);

3) To define borders of a confidential interval for arithmetic mean and r (autocorrelation coefficient).

Table 1. Mid-annual water runoff, m3/s

Год Р1 Р2 Р3 Р4 Р5 Р6 Р7 Р8 Р9 Р10 Р11 Р12 Р13 Р14 Р15 Р16
-1 -1 -1 -1 -1 -1 -1 -1 5.3 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 7.2 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 13.0 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 9.4 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 7.6 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 15.3 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 10.0 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 10.6 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 7.9 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 14.3 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 14.7 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 10.8 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 8.3 -1 -1 -1 -1 -1
-1 -1 119.71 -1 -1 -1 -1 5.1 -1 -1 -1 -1 77.7 -1
-1 -1 88.36 -1 -1 -1 -1 2.4 -1 -1 -1 -1 85.4 -1
-1 -1 -1 -1 516.0 55.42 3.6 -1 -1 -1 6.11 -1
-1 -1 -1 -1 408.0 43.72 2.4 -1 -1 -1 5.61 14.8
339.0 -1 -1 25.6 447.0 48.07 2.6 -1 -1 -1 7.87 14.4
400.0 -1 -1 -1 456.0 49.66 3.1 -1 -1 16.2 5.89 13.5
497.0 -1 343.14 -1 417.0 72.78 5.5 -1 -1 33.7 14.66 29.8
447.0 -1 280.27 48.7 520.0 60.98 3.7 -1 58.9 23.6 11.60 18.4
564.0 -1 476.52 60.7 687.0 109.46 -1 -1 44.6 20.36 38.4
676.0 501.43 58.3 593.0 129.82 11.8 33.6 39.9 26.22
543.0 90.9 320.89 43.5 513.0 86.74 -1 22.2 82.2 31.8 17.12 30.8
551.0 81.7 365.19 50.1 482.0 60.51 3.6 13.2 23.9 10.31 15.4
503.0 54.3 269.93 42.2 453.0 61.60 3.7 15.5 69.1 24.6 8.37 21.3
423.0 72.7 284.93 37.2 412.0 67.93 7.2 19.5 69.2 24.6 23.98 87.4 23.5
416.0 59.1 276.48 49.2 601.0 55.77 3.6 14.6 55.1 20.5 8.56 20.1
520.0 258.38 474.0 77.15 4.6 18.1 73.5 28.5 13.53 27.5
441.0 27.7 155.97 37.7 411.0 27.13 1.0 5.07 9.72 3.83 82.5 8.35
343.0 39.8 208.02 38.8 455.0 28.22 0.7 5.44 26.9 9.76 3.24 8.91
526.0 318.68 45.2 470.0 70.28 4.5 17.6 70.4 25.6 14.48 21.9
468.0 507.57 57.5 531.0 80.60 7.8 20.6 76.6 33.2 10.94 29.9
595.0 347.23 71.7 614.0 117.23 9.0 28.4 17.72 37.7
610.0 88.7 -1 618.0 112.48 11.6 26.3 96.7 38.2 23.29 39.4
633.0 93.4 -1 66.9 629.0 119.78 12.9 29.6 40.4 34.43 40.6
490.0 77.5 -1 68.6 704.0 69.41 3.0 12.3 74.8 10.39 27.7
563.0 99.5 -1 56.7 675.0 103.16 5.8 20.5 33.8 21.58 32.4
347.0 83.8 -1 42.7 443.0 48.09 2.5 9.38 37.2 14.9 7.49 15.3
392.0 66.7 -1 44.6 518.0 53.90 4.2 10.7 35.9 14.4 12.40
494.0 73.5 -1 56.4 631.0 66.25 5.8 13.1 48.7 10.72 19.7
606.0 -1 61.2 663.0 105.88 11.0 27.8 88.3 31.8 30.22 32.8
368.00 68.4 -1 54.9 -1 63.12 3.5 10.5 62.8 26.5 8.82
327.83 60.1 -1 40.3 -1 41.77 1.8 7.87 41.4 19.6 8.11 14.3
283.83 81.7 -1 407.0 29.68 1.5 6.34 32.7 13.4 4.91 91.5 9.97
427.50 -1 54.9 552.0 44.13 3.5 10.6 47.8 22.9 9.07 15.1
510.17 96.8 -1 63.9 86.83 7.75 19.4 81.6 35.9 20.60 28.2
478.58 -1 50.6 -1 178.97 -1 -1 156.18 -1 44.25 61.9
433.33 -1 -1 -1 -1 123.88 -1 -1 106.48 -1 40.00 -1 -1
429.33 -1 -1 -1 -1 99.00 -1 -1 83.78 -1 17.64 -1 -1
-1 -1 -1 -1 -1 104.00 -1 -1 -1 -1 27.61 -1 -1
387.83 -1 73.5 -1 -1 -1 42.77 -1 -1 40.77 -1 9.37 -1 -1
459.92 -1 -1 -1 -1 52.31 -1 -1 93.66 -1 4.63 -1 -1
-1 -1 -1 -1 -1 32.79 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 50.49 3.61 -1 -1 -1 -1 -1 -1
-1 -1 -1 97.19 7.79 -1 -1 -1 -1 -1 -1
-1 -1 41.8 -1 71.43 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 39.2 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 48.8 -1 100.00 15.2 -1 -1 -1 35.8 -1 -1
-1 -1 -1 -1 -1 -1 96.30 12.7 8.44 75.20 -1 34.3 -1 -1
-1 -1 -1 -1 -1 -1 123.00 -1 -1 93.00 -1 -1 -1
-1 -1 -1 -1 -1 -1 103.00 -1 -1 111.00 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 34.30 -1 -1 54.70 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 88.30 5.7 5.17 119.00 -1 16.8 -1 -1
361.00 -1 -1 -1 -1 -1 139.00 20.1 13.9 163.00 -1 45.9 -1 -1
-1 -1 72.8 -1 -1 -1 -1 75.8 6.88 5.2 -1 -1 29.8 -1 -1
-1 54.7 -1 -1 -1 49.4 -1 -1 -1 -1 -1 -1 -1
-1 77.8 -1 -1 -1 67.20 6.4 -1 85.70 -1 -1 -1 -1

Наши рекомендации