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Table 2 Sample description and group coefficient of variation

From: Polytechnic engineering mathematics: assessing its relevance to the productivity of industries in Uganda

Group

Description

Sample (n)

Percentage (%)

Section score CV (%)

B

C

D

Overall

MATE

Mathematics engineering technician educators

29

9.5

14.1

8.3

7.1

7.6

CETE

Civil engineering technician educators

29

9.5

29.6

14.7

17.6

16.9

EETE

Electrical engineering technician educators

32

10.5

14.1

8.5

13.1

8.8

METE

Mechanical engineering technician educators

36

11.8

14.6

9.9

13.6

7.2

CETI

Civil engineering technicians working in industry

37

12.1

27.4

11.1

23.5

17.3

EETI

Electrical engineering technicians working in industry

46

15.1

16.4

9.5

18.9

12.7

METI

Mechanical engineering technicians working in industry

40

13.1

18.5

8.6

16.8

12

SHIT

Students who have had industrial training

28

9.2

8.9

8.4

5.9

5.4

SNIT

Students who have not had industrial training

28

9.2

14.9

9.1

12.9

8.3

  1. Note: B, C, and D refer to sections in the questionnaire. Section B contained eight questions that elicited the extent to which mathematics was in use in the identified industry. Section C comprised of ten questions on mathematics practicability, applicability, depth, rigor, modernity, and relevance to the industries. Section D consisted 16 questions that examined the usefulness of mathematics topics to industries