11.2: Biometrics Lab #2
- Page ID
- 2940
One-way ANOVA Computer Lab
Name: ______________________________________________________
Experiment 1
A forester working with uneven-aged northern hardwoods wants to know if there is a significant difference in total merchantable sawtimber volume (m3ha-1) produced from stands using three different methods of selection system and a 15-yr cutting cycle. The following data are the total merchantable volume from 7 sample plots for each method. If you find a significant difference (reject Ho), then test the multiple comparisons for significant differences. Report the findings using all available information. α=0.05.
Single Tree |
Group Selection |
Patch Strip |
108.6 |
104.2 |
102.1 |
110.9 |
103.9 |
101.4 |
112.4 |
109.4 |
100.3 |
106.3 |
105.2 |
95.6 |
101.4 |
106.3 |
102.9 |
114.6 |
107.2 |
99.8 |
117 |
105.8 |
103.5 |
Write the null and alternative hypotheses.
H0: ____________________________________
H1: ____________________________________
Open Minitab and label the first column as Volume and the second column as Method. Enter all of the volumes in the first column and the methods in the second:
Volume |
Method |
108.6 |
Single |
110.9… |
Single… |
104.2 |
Group |
103.9… |
Group… |
102.1 |
Patch |
101.4… |
Patch… |
Select STAT>ANOVA>One-way. In the Response box select Volume, and in the Factor box select Method. Click on the Comparisons box. Select Tukeys, family error rate “5.” This tells Minitab that you want to control the experiment-wise error using Tukey’s method while keeping the overall level of significance at 5% across all multiple comparisons. Click OK.
State the p-value from the ANOVA table ____________________________________
Write the value for the S2b ___________ and the S2w (MSE) ____________________
Do you reject or fail to reject the null hypothesis? ______________________________
Using the Grouping Information from the Tukey Method, describe the differences in volume produced using the three methods.
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
Now refer to the Tukey 95% Simultaneous Confidence intervals for the multiple comparisons. What is the Individual confidence interval level? __________________ This is the adjusted level of significance used for all the multiple comparisons that keeps the 5% level of significance across the total experiment.
Using these confidence intervals, describe the estimated differences in sawtimber volume due to the three different treatments.
Example: The group method results in greater levels of sawtimber volume compared to patch. The group method yields, on average, 0.327 to 10.073 m3 more sawtimber volume per plot than the patch method.
Compare “Single” and “Patch,” and “Single” and “Group.”
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
Experiment 2
A plant physiologist is studying the rate of transpirational water loss (ml) of plants growing under five levels of soil moisture stress. This species is an important component to the wildlife habitat in this area and she wants to make sure it survives in an area that tends to be dry. She randomly assigns 18 pots to each treatment (N = 90). She is measuring total rate of water transpiring from the leaves (ml) per pot per unit area. Is there a significant difference in the transpiration rates between the levels of water stress (days)? α = 0.05.
0 DAYS |
5 DAYS |
10 DAYS |
20 DAYS |
30 DAYS |
7.78 |
7.15 |
9.1 |
4.72 |
1.05 |
8.09 |
9.12 |
5.86 |
3.53 |
1.29 |
7.27 |
7.67 |
9.45 |
4.96 |
1.11 |
11.35 |
10.82 |
7.14 |
5 |
0.83 |
11.94 |
12.31 |
6.87 |
3.82 |
1.08 |
10.89 |
9.76 |
8.72 |
4.36 |
1.09 |
10.93 |
8.46 |
8.58 |
2.91 |
0.75 |
9.16 |
11.01 |
9.93 |
4.91 |
0.99 |
7.83 |
7.54 |
9.28 |
4.99 |
0.71 |
8.6 |
9.48 |
6.65 |
4.95 |
1.02 |
9.32 |
9.47 |
10.55 |
3.28 |
1.01 |
6.46 |
10.2 |
7.93 |
3.53 |
1.08 |
8.12 |
6.04 |
7.68 |
5.37 |
1.99 |
10.47 |
7.99 |
5.42 |
6.54 |
3.01 |
5.98 |
8.05 |
4.99 |
5.51 |
2.61 |
6.9 |
7.42 |
5.29 |
4.24 |
2.99 |
7.57 |
5.76 |
7.65 |
4.39 |
2.62 |
9.17 |
7.78 |
4.75 |
4.16 |
1.98 |
Write the null and alternative hypotheses.
H0: ____________________________________
H1: ____________________________________
State the p-value from the ANOVA table ____________________________________
Do you reject or fail to reject the null hypothesis? ______________________________
Using the Grouping Information using the Tukey Method, describe the differences in water loss between the five levels of water stress (0, 5, 10, 20, and 30).
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
Now refer to the Tukey 95% Simultaneous Confidence intervals for the multiple comparisons. What is the Individual confidence interval level? __________________ This is the adjusted level of significance used for all the multiple comparisons that keeps the 5% level of significance across the total experiment.
Using these confidence intervals, describe the estimated differences in water loss between the five different treatments.
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
Experiment 3
A rifle club performed an experiment on a randomly selected group of first-time shooters. The purpose was to determine whether shooting accuracy is affected by method of sighting used: only the right eye open, only the left eye open, or both eyes open. Fifteen shooters were all given similar training except in the method of sighting. Their scores are recorded below. At the 0.05 level of significance, is there sufficient evidence to reject the claim that the three methods of sighting are equally effective? α = 0.05.
Right |
Left |
Both |
13 |
10 |
15 |
9 |
18 |
16 |
17 |
15 |
15 |
13 |
11 |
12 |
14 |
15 |
16 |
Write the null and alternative hypotheses.
H0: ____________________________________
H1: ____________________________________
State the p-value from the ANOVA table ____________________________________
Do you reject or fail to reject the null hypothesis? ______________________________
Give a complete conclusion.
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
Why do you think you were not able to identify any differences between the sighting methods?
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________
________________________________________________________________________