R code..soil samples
The aim of this assessment is for you to demonstrate that you are able to independently analyze a datasets you have gathered in R. Remember to differentiate between ‘treatments’, ‘independent samples’ and ‘replicates’ when choosing data for analysis .
Note both Excel and Text files have been provided with your data, these files may not be in the correct format for appropriate analysis and you may want to carry out further refinement. If you choose to do this, save your edited Excel files as a text file to be imported into R.
As part of this assessment you are expected to:
1. Develop two sets of hypothesis which consider physical or chemical differences between the top and sub soil.
2. Provide a set of descriptive statistics for each variable measured for both top and sub soil. This information must be provided in a table and the R code used to achieve this table must be listed beneath.
3. Provide a graph which summarises the data used to test each hypothesis, also list the code used to generate the graph.
4. Test the appropriate data for normality; present the output and your interpretation.
5. Select and run an appropriate inferential test for each hypothesis. You must provide evidence for inferential test outputs . Provide a short explanation of the process you used to choose the statistical test, i.e explain how your data fulfilled test assumptions . HINT: Use lecture materials with independent reading and research to support this section.
6. State whether the null hypothesis have been accepted or rejected.
