public ActionResult Index()
        {
            var model = new EmpericalSampleViewModel
            {
                Mark001 = new MarkViewModel
                {
                    Importance = 0.001,
                    IntervalMarkForKnownDispersion      = EmpericalSampleService.GetIntervalMarkForKnownDispersion(0.001),
                    IntervalMarkForUnknownDispersion    = EmpericalSampleService.GetIntervalMarkForUnknownDispersion(0.001),
                    IntervalMarkMiddleStandardDeviation = EmpericalSampleService.GetIntervalMarkMiddleStandardDeviation(0.001)
                },

                Mark01 = new MarkViewModel
                {
                    Importance = 0.01,
                    IntervalMarkForKnownDispersion      = EmpericalSampleService.GetIntervalMarkForKnownDispersion(0.01),
                    IntervalMarkForUnknownDispersion    = EmpericalSampleService.GetIntervalMarkForUnknownDispersion(0.01),
                    IntervalMarkMiddleStandardDeviation = EmpericalSampleService.GetIntervalMarkMiddleStandardDeviation(0.01)
                },

                Mark05 = new MarkViewModel
                {
                    Importance = 0.05,
                    IntervalMarkForKnownDispersion      = EmpericalSampleService.GetIntervalMarkForKnownDispersion(0.05),
                    IntervalMarkForUnknownDispersion    = EmpericalSampleService.GetIntervalMarkForUnknownDispersion(0.05),
                    IntervalMarkMiddleStandardDeviation = EmpericalSampleService.GetIntervalMarkMiddleStandardDeviation(0.05)
                },
            };

            return(View(model));
        }
Example #2
0
        public ActionResult Index()
        {
            var model = new EmpericalSampleViewModel
            {
                IsVirtual = false,
                IntervalRowByFrequency        = EmpericalSampleService.GetIntervalRowByFrequency(),
                IntervalRowByVirtualFrequency = EmpericalSampleService.GetIntervalRowByVirtualFrequency(),
                MiddleEmpericalValue          = Math.Round(EmpericalSampleService.GetMiddleEmpericalValue(), 2),
                Mode       = EmpericalSampleService.GetMode(),
                Median     = Math.Round(EmpericalSampleService.GetMedian(), 2),
                Dispersion = Math.Round(EmpericalSampleService.GetDispersion(), 2),
                MiddleStandardDeviation = Math.Round(EmpericalSampleService.GetMiddleStandardDeviation(), 2),
                Swing            = Math.Round(EmpericalSampleService.GetSwing(), 2),
                VariationCoef    = Math.Round(EmpericalSampleService.GetVariationCoef(), 2),
                AsymmetricalCoef = Math.Round(EmpericalSampleService.GetAsymmetricalCoef(), 2),
                Excess           = Math.Round(EmpericalSampleService.GetExcess(), 2)
            };

            return(View(model));
        }