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. For a random sample of years, one plot gave the following annual wheat production (in pounds).
4.17 | 4.17 | 3.99 | 3.63 | 3.69 | 3.79 | 4.09 | 4.42 |
3.89 | 3.87 | 4.12 | 3.09 | 4.86 | 2.90 | 5.01 | 3.39 |
Use a calculator to verify that, for this plot, the sample
variance is s2 ≈ 0.312.
Another random sample of years for a second plot gave the following
annual wheat production (in pounds).
4.09 | 3.40 | 3.40 | 3.82 | 3.64 | 3.72 | 4.13 | 4.01 |
3.59 | 4.29 | 3.78 | 3.19 | 3.84 | 3.91 | 3.66 | 4.35 |
Use a calculator to verify that the sample variance for this
plot is s2 ≈ 0.105.
Test the claim that the population variance of annual wheat
production for the first plot is larger than that for the second
plot. Use a 1% level of significance.
(b) Find the value of the sample F statistic. (Use 2
decimal places.)
Part a)
F3:M4 and F8:M9 is the range of values of first and second plot.
Excel formula
VAR.S(F3:M4) = 0.311993333 ≈ 0.312
VAR.S(F8:M9) = 0.105465 ≈ 0.105
Part b)
To Test :-
H0 :-
H1 :-
Test Statistic :-
f = 0.312 / 0.105
f = 2.9714
Test Criteria :-
Reject null hypothesis if f > f(α,n1-1 , n2-1)
f(0.01 , 15 , 15 ) = 3.5222
f < f(0.01,15 , 15 ) = 2.9714 < 3.5222 , hence we fail to
reject the null hypothesis
Conclusion :- We Fail to Reject H0
There is insufficient evidence to support the claim that the population variance of annual wheat production for the first plot is larger than that for the second plot.
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