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Researchers record the yields of corn, in bushels per plot, for four different v

ID: 3292065 • Letter: R

Question

Researchers record the yields of corn, in bushels per plot, for four different varieties of corn, A, B, C, and D. In a controlled greenhouse experiment, the researchers randomly assign each variety to eight of 32 plots available for the study. The yields are listed here:

A

2.5

3.6

2.8

2.7

3.1

3.4

2.9

3.5

B

3.6

3.9

4.1

4.3

2.9

3.5

3.8

3.7

C

4.3

4.4

4.5

4.1

3.5

3.4

3.2

4.6

D

2.8

2.9

3.1

2.4

3.2

2.5

3.6

2.7

Perform an analysis of variance on these data, use Fisher’s Least Significant Difference to check mean differences if the overall F test is significant, and draw your conclusions. (alpha=0.05) Provide the necessary SPSS output and circle any results that you refer to.

What is the null hypotheses and the critical value?

A

2.5

3.6

2.8

2.7

3.1

3.4

2.9

3.5

B

3.6

3.9

4.1

4.3

2.9

3.5

3.8

3.7

C

4.3

4.4

4.5

4.1

3.5

3.4

3.2

4.6

D

2.8

2.9

3.1

2.4

3.2

2.5

3.6

2.7

Explanation / Answer

here we are interested in testing hypothesis that

H0: mean of all groups are same

H1: Not H0


One-way ANOVA: response versus factor

Source DF SS MS F P
factor 3 6.621 2.207 11.05 0.000
Error 28 5.594 0.200
Total 31 12.215

S = 0.4470 R-Sq = 54.20% R-Sq(adj) = 49.30%


Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean StDev --------+---------+---------+---------+-
1 8 3.0625 0.4033 (-----*------)
2 8 3.7250 0.4234 (-----*------)
3 8 4.0000 0.5503 (-----*-----)
4 8 2.9000 0.3928 (-----*-----)
--------+---------+---------+---------+-
3.00 3.50 4.00 4.50

Pooled StDev = 0.4470

here overall p-value is 0.000 < 0.05 =alpha that implies that the null hypothesis of eqality of means are rejected. and can comment that at 5% significance the means are not same .

so we procced to which factor is different from other.....


Fisher 95% Individual Confidence Intervals
All Pairwise Comparisons among Levels of factor

Simultaneous confidence level = 80.51%


factor = 1 subtracted from:

factor Lower Center Upper ---------+---------+---------+---------+
2 0.2047 0.6625 1.1203 (----*-----)
3 0.4797 0.9375 1.3953 (-----*----)
4 -0.6203 -0.1625 0.2953 (-----*-----)
---------+---------+---------+---------+
-0.80 0.00 0.80 1.60


factor = 2 subtracted from:

factor Lower Center Upper ---------+---------+---------+---------+
3 -0.1828 0.2750 0.7328 (----*-----)
4 -1.2828 -0.8250 -0.3672 (-----*----)
---------+---------+---------+---------+
-0.80 0.00 0.80 1.60


factor = 3 subtracted from:

factor Lower Center Upper ---------+---------+---------+---------+
4 -1.5578 -1.1000 -0.6422 (----*-----)
---------+---------+---------+---------+
-0.80 0.00 0.80 1.60

in above comparison we can note that the CI for A-D and B-C has 0 in the interval. that means these treatments are same of each other at 5% level and all other combinations are significantly differ.

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