Research Article

Grading Prediction of Enterprise Financial Crisis Based on Nonlinear Programming Evaluation: A Case Study of Chinese Transportation Industry

Table 4

Descriptive statistics of indicators.

SampleMin. valueMax. valueAverage valueStandard deviationVariance

37 0.00832.4144.737825.92652035.124
380.6586822.688963.117285155.526058424188.355
380.00164.80351.2077971.10222431.215
370.225250.99217.1798039.785658095.759
380.00162.18750.6453920.59101140.349
350.340225.65672.4544674.372369919.118
380.214825.65671.7798084.165462817.351
363.8248121.043457.85749725.2679304638.468
37−84.30181.0359−2.16995313.6857142187.299
35−87.116545.61275.82761125.6430196657.564
37−299.107445.6127−0.53470855.37391473066.270
37−24.0472200.51259.97748356.733666127258.908
36−922.43381335755.336074.373219601.471863148224806444.416
34−165.42611335755.338163.717486225783.999678850978414510.938
39−10962.503716.6667−194.9133451848.55865553417169.103
37−10962.503716.6667−201.1178661897.60311693600897.589
36−92.6365778.053132.868792131.027198117168.127
37−507.069704.248−3.89169192.49904037055.881
35−3172.059710.442−61.40170574.683821330261.494
38−48692.9734338.184−1161.343187843.46937661520011.849
38−0.77725.04840.6436591.03565701.073
39−0.2913.753.44633.4924712.197
350.000052.50878.66458112.8255405164.494