In a bioligical experiment 4 concentration of a certain chemical are used to enhance the growth of a certain type of plant over specified period of time.the following growth data,in centimeters,were recorded for the plant that survived: Concentration column 1 is 8.2 ,8.7 ,9.4, 9.2 column 2 is 7.7, 8.4,8.6,8.1,8.0 column 3 is 6.9 , 5.8 ,7.2,6.8,7.4,6.1 and column 4 is 6.8,7.3,6.3,6.9,7.1.Is there a significant difference in the average growth of these plants for the different concentration of the chemicals ?Use a 0.01 level of significance.
Hypotheses
Ho: μ1 = μ2 = μ3 = μ4
H1: At least one of the means is significantly different
α =0.01
Test statistic
We will use F-statistic
Rejection region
We reject H0 if the computed p-value <0.01
Computation of F-statistic
By using excel, we obtain the output below.
Anova: Single Factor
SUMMARY
Groups
Count
Sum
Average
Variance
Concentration 1
4
35.5
8.875
0.289167
Concentration 2
5
40.8
8.16
0.123
Concentration 3
6
40.2
6.7
0.392
Concentration 4
5
34.4
6.88
0.142
ANOVA
Source of Variation
SS
df
MS
F
P-value
F crit
Between Groups
15.462
3
5.154
21.2126
8.03E-06
5.2922
Within Groups
3.8875
16
0.2430
Total
19.3495
19
From the analysis, the computed F(3,16) = 5.2922, p = 0.0000<0.01. We reject the null hypothesis meaning that the data provides sufficient evidence to conclude that at least one of the means is significantly different from the other means at 0.01alpha level of significance. This may imply that there is a significant difference in the average growth of these plants for the different concentrations of the chemicals.
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