Rothamsted Experimental Station (England) has studied wheat production since 1852. Each year many small plots of equal size but different soil/fertilizer conditions are planted with wheat. At the end of the growing season, the yield (in pounds) of the wheat on the plot is measured. Suppose for a random sample of years, one plot gave the following annual wheat production (in pounds):   3.81 2.97 5.19 3.40 3.05 2.40 4.35 3.00 4.89 5.23 3.37 4.00 3.84 5.42 5.09 5.03 For this plot, the sample variance is . Another random sample of years for a second plot gave the following annual wheat production (in pounds):   3.53 3.65 3.89 4.19 3.44 3.42 3.58 3.83 3.46 4.32 3.58 3.45 3.77 3.54 3.48 4.07 For this plot, the sample variance is . Test the claim using  that the population variance of annual wheat production for the first plot is larger than that for the second plot.   Find (or estimate) the P-value of the sample test statistic given that the sample test statistic

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Rothamsted Experimental Station (England) has studied wheat production since 1852. Each year many small plots of equal size but different soil/fertilizer conditions are planted with wheat. At the end of the growing season, the yield (in pounds) of the wheat on the plot is measured. Suppose for a random sample of years, one plot gave the following annual wheat production (in pounds):
 

3.81

2.97

5.19

3.40

3.05

2.40

4.35

3.00

4.89

5.23

3.37

4.00

3.84

5.42

5.09

5.03

For this plot, the sample variance is . Another random sample of years for a second plot gave the following annual wheat production (in pounds):
 

3.53

3.65

3.89

4.19

3.44

3.42

3.58

3.83

3.46

4.32

3.58

3.45

3.77

3.54

3.48

4.07

For this plot, the sample variance is . Test the claim using  that the population variance of annual wheat production for the first plot is larger than that for the second plot.
 

Find (or estimate) the P-value of the sample test statistic given that the sample test statistic .

Expert Solution
Step 1
Sample 1 Sample 2  
3.81 3.53  
2.97 3.65  
5.19 3.89  
3.4 4.19  
3.05 3.44  
2.4 3.42  
4.35 3.58  
3 3.83  
4.89 3.46  
5.23 4.32  
3.37 3.58  
4 3.45  
3.84 3.77  
5.42 3.54  
5.09 3.48  
5.03 4.07  
0.9589 0.0813 Variance
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