Skip to main content

Table 6 The results of \(\pmb{\chi^{2}}\) test on category that shows significant difference among different user groups

From: Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

Demographics

Attributes

Category

\( \boldsymbol{\chi^{2}} \)

p -value

Age

Cyber

Social Network (browsing)

52.0510

0.0000

News (querying)

18.8830

0.0000

Finance (querying)

10.2200

0.0170

Real Estate (querying)

7.7560

0.0499

Business (querying)

13.8110

0.0030

Physical

Jewellery

7.7480

0.0499

Children

8.3800

0.0390

Social

With Kids

76.743

0.0000

With an adult

13.509

0.0040

With a group

10.199

0.0170

Education

Cyber

Tourism (browsing)

24.7210

0.0000

Local Services (querying)

12.1910

0.0160

Travelling (querying)

12.2590

0.0160

Health & Beauty (querying)

11.6060

0.0210

Physical

Food & Drink

10.4070

0.0340

Children

17.8750

0.0010

Income

Cyber

Work (browsing)

14.7190

0.0050

Travel (querying)

10.3620

0.0350

Social

With Kids

14.795

0.0050

With a Group

18.914

0.0010

Parental Status

Cyber

Social Network (browsing)

11.3700

0.0010

Society (querying)

6.2010

0.0130

Physical

Children

65.5470

0.0000

Social

Single

11.411

0.0010

With Kids

147.475

0.0000

With an Adult

4.574

0.0320

With a Group

4.044

0.0440

User Type

Cyber

Tourism (browsing)

83.9740

0.0000

Travel (browsing)

39.8930

0.0000

Shopping (browsing)

11.8410

0.0190

Local Information (querying)

26.8420

0.0000

Entertainment & Arts (querying)

9.9750

0.0410

Travel & Recreation (querying)

38.6290

0.0000

Food & Drink (querying)

12.2080

0.0160

Physical

Fashion

10.0990

0.0390

Food & Drink

10.4410

0.0340

Leisure

11.2550

0.0240

Social

Single

19.659

0.0010

With Kids

11.602

0.0210

With a Group

17.449

0.0020