2  Assessment One

2.1 Introduction

The first assessment for the module is scheduled for the end of University Week 15/Module Week 8 (15th November 2024, 11am). This assessment is worth 40% of your overall grade for the module.

For this assessment, you will be asked to implement a sequence of preparatory and analytical tasks on a dataset. The tasks will be drawn from the list of processes that have been covered during Weeks 1-8 of the B1700 module.

You should assume that any procedures covered during in-class practicals in weeks 1-8 may be tested. The tasks may therefore include some of the following list:

  • loading libraries that are required for your script to run (for example, ggplot2)

  • importing data from different file formats, including .csv and .xls

  • creating a dataframe from an imported file

  • renaming variables in the dataset

  • changing data types in R (e.g., from character to integer)

  • creating a new variable based on an operation carried out on existing variables

  • dealing with missing data by removing rows that contain missing data, or by imputation

  • identifying outliers in the dataset, and dealing with these appropriately

  • calculating and reporting descriptive statistics (mean, median, min, max, SD) for specific variables in the dataset

  • creating visualisations for specific variables

2.2 Process

  • The assessment will take place on-campus over a one-hour period on Friday 15th November 2024. The assessment will begin at 11am.

  • You will be provided with a series of tasks to complete. These tasks will be drawn from the content of weeks 1-8 of the module.

  • The first task involves creating a dataframe by importing a dataset.

  • You will then work through each task. Your response will be recorded using a multiple-choice format.

    • So, for example, you may be required to calculate the mean of a variable. The response to this task will give you four options for the mean, and you should select the correct one based on your analysis.

2.3 Grading

Each multiple-choice response will be grades as correct/incorrect. Your final score will be the percentage of questions you have answered correctly.

Your final grade for the module will be your result for Assessment One (weighted at 40%) + your result for Assessment Two (weighted at 60%). You require an overall total of >=50% to pass the module and must achieve >=50% in both elements to pass.