DOWNLOAD PAGE HERE:

R-Studio Download

Please read and follow the instuctions:

You will need to install "R" first and then install "R STUDIO"

A PRACTICE DATA-SET:

dowload this file and save on your computer

1. FILE - NEW FILE - R SCRIPT

( OPENS WORKSPACE FOR YOU TO TYPE IN)

2. SESSION - SET WORKING DIRECTORY - CHOOSE DIRECTORY ( navigate to folder where data set is stored)

3. Chol<-read.csv("Cholesterol_R.csv")

( this names the file Chol, so you dont need to type it all out everytime- Remember you need the quotation marks and the file name needs to be EXACTLY what the file is called)

4. attach(Chol)

the file is now attached and saves you asking Rstudio each time to look for the file before completing the command, and also stores all the collumn headers so they appear as you type

YOU CAN NOW WORK WITH THE DATA SET AND DO SOME STASTISTICAL ANALYSIS

TRY: sd(Before) - it should return a standard deviation of 1.191087

TRY: summary(After4weeks) - It should return a summery stastistic set giving a five figure summary and mean

TRY: boxplot(After8weeks)- It should give a simple boxplot diagram if you click the "PLOTS" tab on bottom right window.

While its tempting to miss out some of the steps ( 1 - 4) ...IT IS VERY IMPORTANT THAT YOU DONT. You have to be very familiar with doing all 4 in the correct order EVERY TIME. The exam will require you to work from scratch. Missing out steps will confuse you on exam day if you dont follow this advice.

THE SQA PROVIDE HELPFUL COMMANDS FOR R STUDIO FOR USE DURING EXAMS: DOWNLOAD HERE

You can try out some of the commands with the above data-set where "X" is replaced by the appropriate collumn headings

eg: hist(Before,col = "yellow",main="thing") will give a histogram of the BEFORE data, coloured yellow and named THING

Its a good idea to play with the given commands and see what happens

THE PROJECT MAKES UP AROUND A THIRD OF THE TOTAL MARKS OF THE COURSE.

IT NEEDS TO BE SUBMITTED DURING THE OCTOBER - DECEMBER TERM ( BEFORE CHRISTMAS HOLIDAYS)

IT IS A STASTISTICS BASED PROJECT:

applying statistical skills to data
analysing data, interpreting and communicating findings using statistical skills

The project report should not exceed 2000 words, excluding the title page, contents page,
tables of data, graphs, diagrams, calculations, references, acknowledgements, and any
appendices

THE PROJECT SHOULD TAKE 8 HOURS TO COMPLETE

Question Paper

Electronic files

Supporting data booklet

Solutions

Specimen Paper

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Specimen Booklet

Specimen Solutions

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