Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

Skip to main content

Table 1 Inadequate and Quenouille-Addelman solutions for the data presented in Fig. 1a, b

From: A recurring error in evaluating the effects of different pesticides, pollutants and fertilizers with a zero level

Inadequate

Quenouille-Addelman solution

Source of variation

df

SS

MS

F

P

Source of variation

df

SS

MS

F

P

Fixed-effect solution for a completely randomized design based on the data presented in Fig. 1a

           

 Qualitative variable (A)

2

101.77

50.89

208.40

 > 0.01

Qualitative variable (A)

2

136.60

68.30

326.35

 > 0.01

 Quantitative variable (Z)

3

156.66

52.22

213.87

 > 0.01

Quantitative variable (Z)

3

156.66

52.22

249.52

 > 0.01

 A × Z

6

60.59

10.10

41.36

 > 0.01

A × Z

4

25.76

6.44

30.77

 > 0.01

 Error

12

2.93

0.24

  

Error

14

2.93

0.21

  

 Total

23

321.95

   

Total

23

321.95

   

Fixed effect solutions for a completely randomized design based on the data presented in Fig. 1b

           

 Qualitative variable (A)

2

64.48

32.24

179.94

 > 0.01

Qualitative variable (A)

2

84.20

42.10

274.14

 > 0.01

 Quantitative variable (Z)

3

255.79

85.26

475.89

 > 0.01

Quantitative variable (Z)

3

255.79

85.26

555.20

 > 0.01

 A × Z

6

19.87

3.31

18.48

 > 0.01

A × Z

4

0.10

0.03

0.16

0.95

 Error

12

2.15

0.18

  

Error

14

2.15

0.15

  

 Total

23

342.29

   

Total

23

342.24

   

Polynomial fixed effect solution for a completely randomized design based on the data presented in Fig. 1b

           

 Qualitative variable (A)

2

64.48

32.24

179.94

 > 0.01

Qualitative variable (A)

2

84.20

42.10

274.14

 > 0.01

 Quantitative variable (Z)

     

Quantitative variable (Z)

     

 Linear

1

206.66

206.66

1153.45

 > 0.01

Linear

1

206.66

206.66

1345.69

 > 0.01

 Quadratic

1

39.58

39.58

220.91

 > 0.01

Quadratic

1

39.58

39.58

257.73

 > 0.01

 Cubic

1

9.54

9.54

53.25

 > 0.01

Cubic

1

9.54

9.54

62.12

 > 0.01

  A × Z

     

A × Z

     

 Linear

2

12.16

6.08

33.93

 > 0.01

Linear

2

0.01

0.01

0.03

0.97

 Quadratic

2

5.71

2.86

15.93

 > 0.01

Quadratic

2

0.10

0.05

0.33

0.73

 Cubic

2

2.00

1.00

5.58

0.02

Error

14

2.15

0.15

  

 Error

12

2.15

0.18

  

Total

23

342.24

   

 Total

23

342.28