How many fields need to include in an analysis

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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

Reference no: EM132332643

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len2332643

7/3/2019 2:06:07 AM

There are some issues with the data that we will need to discuss, and I will allow for some alternate analysis. There will be additional questions I'd like answered. Most of the programming techniques you'll need for this project will have been covered in Week 5 exercises, but some of the data handling in Week 7 may be useful, so I'm making the material available as of Week 5 but will tentatively set the deadline for Monday, July 12. I will not be providing a template for this project. Instead, consider this practice in producing a professional-looking and well-documented analysis. I'll be primarily grading on how you describe what you intend to do to analyze the data, and how well you document that the code you wrote did indeed produce the intended analysis. I will also allow collaboration on this project - groups of two - but that will require that you answer two different planning questions and that you document clearly what each collaborator contributed to the analysis. I'll comment on other possible analysis in the Midterm discussion topic, or you may suggest alternative analysis.

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