Table 3 Descriptive statistics.

From: Digital audit talent’s impact on audit digitization and detection risk

Variable name

Obs

Mean

SD

Min

Median

Max

The adequacy of digital audit talent (\(IT\))

300

1.46

6.37

0.00

0.00

70.00

The degree of audit digitization (\(AD\))

300

0.24

0.96

0.00

0.00

11.00

The level of detection risk (\(DR\))

300

2.20

5.40

0.00

0.00

16.91

Number of professional standard-setters in the industry (\(PS\))

299

0.49

1.84

0.00

0.00

22.00

Number of people who compile and mark Certified Public Accountant exams (\(PE\))

299

0.73

2.47

0.00

0.00

23.00

Number of continuing education lectures in the industry (\(ET\))

299

0.67

2.32

0.00

0.00

17.00

Number of practice quality inspections conducted in the industry (\(QI\))

299

0.80

3.83

0.00

0.00

60.00

Training time per capita (\(PT\))

300

22.20

13.20

5.00

20.00

82.00

  1. This table reports descriptive statistics for all variables, including the number of observations (\(Obs\)), mean (\(Mean\)), standard deviation (\(SD\)), minimum value (\(Min\)), median (\(Median\)), and maximum value (\(Max\)). The sample consists of panel data from the \(\text{CICPA}\)(2020–2022). Key statistics are interpreted as follows: The low median values of “the adequacy of digital audit talent (\(\text{IT}\))” \(and\)“the degree of audit digitization (\(AD\))” compared to their means indicate significant heterogeneity in digitization levels among accounting firms, consistent with the current status of digital transformation in China’s audit industry.