Question 1. [5 pts] For each of the following write down the correct answer. (a) An F-test for block effects is not vali

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Question 1 5 Pts For Each Of The Following Write Down The Correct Answer A An F Test For Block Effects Is Not Vali 1 (100.1 KiB) Viewed 102 times

Question 1 5 Pts For Each Of The Following Write Down The Correct Answer A An F Test For Block Effects Is Not Vali 2 (37.93 KiB) Viewed 102 times

Question 1. [5 pts] For each of the following write down the correct answer. (a) An F-test for block effects is not valid because (i) We are not interested in block effects (ii) The only randomization of treatments is within blocks. (iii) Blocks are nuisance factors (iv) None of the above. (b) How can you assess if blocking has been effective in reducing experimental error? (i) Compare Blocks and Error mean squares. (ii) Compare results with and without blocking. (iii) Any of the above. (iv)We cannot (c) If the number of blocks is fixed (e.g. gender), then (i) There is no question of choice of sample size. (ii) We can only assess the power of the test at a specified level of significance. (iii) For a given power and level of significance, we can find the minimum difference between means that will result in rejection of the null hypothesis. (iv) All of the above (d) A factorial design is the most efficient design, when the effects of two or more factors are being studied. (i) True (ii) False (iii) sometimes (iv) Depends on the nature of the factors. (e) If a factorial experiment is not replicated, we can still test the main effects of the factors always (ii) sometimes (iii) Never (v Only if there is no interaction.

(a) In a random effects model (i) Only treatment effects are random variables (ii) Only errors are random variables (iii) Both the treatment effects and errors are random variables (iv) All are true (b) The effect of not considering the block in a completely randomized block design (i) Inflate the mean square for treatment (ii) Deflate the mean square for treatment (iii) Inflate the sum of squares for error (iv) Deflate the sum of squares for error