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Mean dry weights (mg) of 3 genotypes of beetles T. castaneum reared at a density

ID: 3173555 • Letter: M

Question

Mean dry weights (mg) of 3 genotypes of beetles T. castaneum reared at a density of 20 beetles per g of flour. There are 4 series of experiments that represent blocks.

Blocks = 4

Genotypes = 3

Replication = 3 groups of beetles per treatment per block

Fill in the following ANOVA table based on the information above.

                                               

Source

df

SS

MS

F-ratio   Est P-val

RCBD

Treatment

0.009717

(with replication)

Blocking factor

0.021391

TxB

0.004181

Error

0.01392

Total

.049209

Is there a treatment effect?

Is there a block effect?

Is there an interaction?

In 1-2 sentences, explain these findings.

A plant ecologist wishes to test the hypothesis that the height of plant species X depends on the type of soil it grows in. He measures the height of 3 plants (in cm) in each of 4 plots representing different soil types. All four plots are contained in a 2-mile square area.

Create an ANOVA table, show your work when calculating the sums of squares.

Give your analysis of the null hypothesis that there is no difference in the growth in different soil types. Explain your findings in one sentence.

Observation

Plot A

Plot B

Plot C

Plot D

1

15

25

17

10

2

9

21

23

13

3

4

19

20

16

Source

df

SS

MS

F-ratio   Est P-val

RCBD

Treatment

0.009717

(with replication)

Blocking factor

0.021391

TxB

0.004181

Error

0.01392

Total

.049209

Explanation / Answer

1)

1) For Treatments:

Since p >0.05 we do not reject the H0. Hence treatments are not significant'

2) for blocks

Since p < 0.05 we do reject the H0. Hence blocks are significant'

3) Interactions:

Since p >0.05 we do not reject the H0. Hence interactions are not significant'

part B)

H0: There is no difference between means of four groups

H1:There is a difference between means of four groups

alpha:5%

Test statistic:

From Excel

F cal=7.044

Conclusion:

P value= 0.0123

P < 0.05 we reject the H0. Hence claim is significant

df SS MS F-ratio   Est Source P value Treatments 3-1=2 0.00097 0.00049 0.80136494 0.460852748 Blocking factor 4-1=3 0.021391 0.00713 11.7814416 7.07172E-05 TxB 2*3=6 0.004181 0.0007 1.15137692 0.36543633 Error 23 0.01392 0.00061 Total 36-1=35 0.049209