PHỤ LỤC
1.3Kết quả phân tích Anova bằng phần mềm Statgraphics ảnh hưởng của tỷ lệ che bóng đến sinh trưởng của cây Cốp lá bắc thon
che bóng đến sinh trưởng của cây Cốp lá bắc thon
1.3.1 Ảnh hưởng của tỷ lệ che bóng đến đường kính gốc của cây
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Source Sum of Squares Df Mean Square F-Ratio P-Value
Between groups 8,01 3 2,67 5,84 0,0205
Within groups 3,66 8 0,46
Total (Corr.) 11,66 11
The StatAdvisor
The ANOVA table decomposes the variance of D00 into two components: a between-group component and a within-group component. The F-ratio, which in this case equals 5,84, is a ratio of the between-group estimate to the within-group estimate. Since the P-value of the F-test is less than 0,05, there is a statistically significant difference between the mean D00 from one level of NT to another at the 95,0% confidence level. To determine which means are significantly different from which others, select Multiple Range Tests from the list of Tabular Options.
Multiple Range Tests for D00 by NT
Method: 95,0 percent LSD
NT Count Mean Homogeneous Groups
C0 3 5,97 A
C2 3 4,76 AB
C1 3 4,41 B
C3 3 3,71 B
Contrast Sig. Difference +/- Limits
C0 - C1 * 1,5533 1,2727 C0 - C2 1,21 1,2727 C0 - C3 * 2,2567 1,2727 C1 - C2 -0,3433 1,2727 C1 - C3 0,7033 1,2727 C2 - C3 1,0467 1,2727
* denotes a statistically significant difference. The StatAdvisor
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This table applies a multiple comparison procedure to determine which means are significantly different from which others. The bottom half of the output shows the estimated difference between each pair of means. An asterisk has been placed next to 2 pairs, indicating that these pairs show statistically significant differences at the 95,0% confidence level. At the top of the page, 2 homogenous groups are identified using columns of X's. Within each column, the levels containing X's form a group of means within which there are no statistically significant differences. The method currently being used to discriminate among the means is Fisher's least significant difference (LSD) procedure. With this method, there is a 5,0% risk of calling each pair of means significantly different when the actual difference equals 0.
1.3.2 Ảnh hưởng của tỷ lệ che bóng đến chiều cao vút ngọn của cây
ANOVA Table for Hvn by NT
Source Sum of Squares Df Mean Square F-Ratio P-Value
Between groups 30,63 3 10,21 12,5 0,0022
Within groups 6,53 8 0,82
Total (Corr.) 37,17 11
The StatAdvisor
The ANOVA table decomposes the variance of Hvn into two components: a between-group component and a within-group component. The F-ratio, which in this case equals 12,5, is a ratio of the between-group estimate to the within-group estimate. Since the P-value of the F-test is less than 0,01, there is a statistically significant difference between the mean Hvn from one level of NT to another at the 99,0% confidence level. To determine which means are significantly different from which others, select Multiple Range Tests from the list of Tabular Options.
Multiple Range Tests for Hvn by NT Method: 99,0 percent LSD
NT Count Mean Homogeneous Groups (adsbygoogle = window.adsbygoogle || []).push({});
C0 3 28,98 A
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C2 3 26,13 BC
C3 3 24,69 C
Contrast Sig. Difference +/- Limits
C0 - C1 1,4267 1,70173 C0 - C2 * 2,8467 1,70173 C0 - C3 * 4,29 1,70173 C1 - C2 1,42 1,70173 C1 - C3 * 2,8633 1,70173 C2 - C3 1,4433 1,70173
* denotes a statistically significant difference. The StatAdvisor
This table applies a multiple comparison procedure to determine which means are significantly different from which others. The bottom half of the output shows the estimated difference between each pair of means. An asterisk has been placed next to 3 pairs, indicating that these pairs show statistically significant differences at the 99,0% confidence level. At the top of the page, 3 homogenous groups are identified using columns of X's. Within each column, the levels containing X's form a group of means within which there are no statistically significant differences. The method currently being used to discriminate among the means is Fisher's least significant difference (LSD) procedure. With this method, there is a 1,0% risk of calling each pair of means significantly different when the actual difference equals 0.
1.3.3 Ảnh hưởng của tỷ lệ che bóng đến số cặp lá trên cây
ANOVA Table for Socapla by NT
Source Sum of Squares Df Mean Square F-Ratio P-Value
Between groups 6,06 3 2,02 8,92 0,0062
Within groups 1,81 8 0,23
Total (Corr.) 7,87 11
The StatAdvisor
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a between-group component and a within-group component. The F-ratio, which in this case equals 8,92, is a ratio of the between-group estimate to the within-group estimate. Since the P-value of the F-test is less than 0,01, there is a statistically significant difference between the mean Socapla from one level of NT to another at the 99,0% confidence level. To determine which means are significantly different from which others, select Multiple Range Tests from the list of Tabular Options. Multiple Range Tests for Socapla by NT
Method: 99,0 percent LSD
NT Count Mean Homogeneous Groups
C0 3 11 A
C2 3 10 AB
C1 3 10 AB
C3 3 9 B
Contrast Sig. Difference +/- Limits
C0 - C1 1,1033 1,30379
C0 - C2 0,87 1,30379
C0 - C3 * 1,9967 1,30379
C1 - C2 -0,2333 1,30379
C1 - C3 0,8933 1,30379
* denotes a statistically significant difference The StatAdvisor (adsbygoogle = window.adsbygoogle || []).push({});
This table applies a multiple comparison procedure to determine which means are significantly different from which others. The bottom half of the output shows the estimated difference between each pair of means. An asterisk has been placed next to 1 pair, indicating that this pair shows a statistically significant difference at the 99,0% confidence level. At the top of the page, 2 homogenous groups are identified using columns of X's. Within each column, the levels containing X's form a group of means within which there are no statistically significant differences. The method currently being used to discriminate among the means is Fisher's least significant difference
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(LSD) procedure. With this method, there is a 1,0% risk of calling each pair of means significantly different when the actual difference equals 0.