Reference no: EM132332643
Project -
Background: The table from Homework,
|
Rate
|
23000
|
24000
|
25000
|
26000
|
27000
|
28000
|
29000
|
|
Yield
|
111.4216
|
155.0326
|
181.1176
|
227.5800
|
233.4623
|
242.1753
|
231.3890
|
is from a larger data set. The data comes from my brother - he's the farmer in the family. I've been advising him on how to make use of precision ag data. In this case, we're considering how variable rate seeding affects yield.
The top row are target seeding rates, in seeds per acre, the bottom row are corn yields in bushels per acre. By eyeball, it looks like the optimal rate for seeding is about 26000 seeds per acre - higher rates don't give better yields. But I'd like a more rigorous assessment.
Your task is not be to provide an assessment of the data, instead, your task will be to advise on how many fields need to include in an analysis - that is, given the effect sizes in these data, what are the required replicates?
The table summarizes data from four corn fields. The data are included in the Data Files module in the Midterm Project. Your primary task will be to produce mean estimates for yield at different seeding rates for each field. Then, you will produce a summary across fields, calculating both mean and standard deviation (for n = 4 observational units). From those mean and standard deviation, you will calculate effect sizes and required replicates.
There are some issues with the data that we will need to discuss, and will allow for some alternate analysis. Not providing a template for this project. Instead, consider this practice in producing a professional-looking and well-documented analysis.
Attachment:- Statistics Assignment Files.rar