Subject Code : BIOL2610
Country : Australia
Assignment Task
 

Learning Objectives This assignment is designed to help you meet some of the major learning objectives of this unit. In particular, through this assignment, you will go through all of the steps involved in designing and implementing a biological experiment:

1. Develop testable hypotheses based on general scientific questions.

2. Design an unconfounded experiment to test scientific hypotheses.

3. Choose an appropriate statistical test to analyse experimental data.

4. Carry out statistical tests using the computer package RStudio.

5. Correctly interpret results from statistical tests.

6. Clearly present the findings of the experiment and statistical analyses using figures, tables, and text.

Materials and Methods You need to provide a lot of detail in this section about exactly how you set up and ran your experiment. Pay particular attention to discussing how many replicates you used, how you ensured independence among your replicates, and how you randomised your sampling. Each of the above experiments would be quite easy to pseudo-replicate, so please make sure you give careful thought to avoiding this error! Also, clearly state how you took your measurements and discuss what steps you took to make them as precise as possible.

Note that you should also provide a brief (couple of sentences) description of your statistical analysis in the Methods. This description needs to indicate what type of analysis was performed, e.g. “Height data were analysed using two-way ANOVA”, and what the assumptions are of this type of analysis (e.g. independence, homogeneous variances, normally distributed residuals.) You also need to add the sentence “All statistical analyses were performed using the software package R version #.#.# (R Development Core Team 2015).” You can determine the version number by typing R.Version() in the RStudio console.

• The study has been identified as observational or manipulative, and reasons have been given for this choice

• Description of the methods of data collection are clear and easy to follow

• Measurement methods were appropriate.

• Factors and covariates have been correctly identified

 

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  • Posted on : June 09th, 2019
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