{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

midterm.04

# midterm.04 - Midterm 1 Consider the following Completely...

This preview shows pages 1–2. Sign up to view the full content.

Midterm 1. Consider the following Completely Randomized Design in which percentage yield of a product is studied as the percent of one of its constituents is changed. Use α = . 01 for all tests. (a) Test whether the linear model is better than the intercept model, and whether the linear model is as good as the quadratic model (the quadratic model is equivalent to the cell means model in a 3-level design). (b) Construct separate power curves for each of the above hypotheses, using a reason- able estimate of σ 2 in your power analysis, and assuming the researcher wanted to be able to detect a linear contrast of 1 and a quadratic contrast of 2. What conclusions can you reach about the sample sizes needed to detect effects for the two hypothees? Do the sample sizes seem unreasonable in comparison to the size of the pilot experiment? 15 20 25 23.72 31.48 33.44 24.83 33.12 35.22 21.96 30.96 34.23 24.54 29.98 32.97 23.69 31.99 35.20 2. Consider the following SAS output from analysis of a BIBD. (a) If the grand mean is 17.36, compute ˆ τ 1 , . . . , ˆ τ a . (b) Compute estimates of V τ ), V τ ), and an appropriate estimate of

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 2

midterm.04 - Midterm 1 Consider the following Completely...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online