Preparation for your DP – Internal Assessment
Introduction

In the upcoming unit you will learn how data can be collected, analysed and represented. In this task we will gather numerical data and display it in various ways, so we can then compare and contrast the multiple representations of the same data to analyse, study and discuss the advantages and disadvantages of each. We will use different graphs to represent the information as best as we can and to highlight relevant elements of the data. We will apply different statistical tools to analyse the data and subgroups in depth. We will reflect and present our findings in the form of our choice. 

This project will be assessed against Criterion C and D.

Data collection

Decide what numerical data you will collect and what subgroups might carry interesting alternations. (Your topic needs to be approved by your teacher)
Create a survey monkey online with your questions that will help you distinguish the subgroups. 
Email or contact the appropriate group to make sure that the data collected is valid and reliable.
Start to make a plan how will you display the data and start to research the information required for the completion of this task.
Possible way to do it:
Research questions: How many tons of plastic do GIS students think are in the ocean? 
Subgroups: Gender, Country of Birth
https://docs.google.com/forms/d/e/1FAIpQLSeJdpimpK6Hl27fZWeKbNPtWJe2O2VxC_8DvBNZhtCwr3t5Qg/viewform?usp=sf_link

	

Once you gathered enough data, you can start with …
Data Analysis

The data collected prior to this class must be analysed with certain mathematical methods. The whole data must be described by its

Mean, Mode, Median and Range. 
Quartiles
Interquartile range
Standard deviation 
Box plot

Subgroup your data and analyse the outcome in these subgroups (compare to the overall outcome) to draw further conclusions e.g. sex, age, race, so on, … and describe the data set again.
Further analysis

Explore and research the topics below in the table. The following list gives you an overview of mathematical “tools” you can use to analyse data and represent it successfully
Investigate and research to understand and reflect the reasons, the intentions and the method of these “tools”. You might use them for Point 1 – Data representation.
Statistical tool
Researched it
Will use it
Median

Quartiles

Interquartile Range

Boxplot

Mean

Standard Deviation

Frequency Table

Cumulative Frequency Table

Cumulative Frequency Chart

Bar graphs

Histograms

Grouped / clustered data

Data representation:

After analysing your data, you will present your data in a paper (max 10 pages) which needs to be submitted by February 1st, 2022. 

One of these representation methods must be a clearly labelled Boxplot. You must understand and show what each of the Boxplot sections represents in terms of the data you have collected, and appropriately enter the correct number or name in each section. 

The second chart must be a cumulative frequency chart, which has to be clearly labelled.  

The third type of presentation will be a chart of your own choice. Choose wisely to pick a type of chart that really shows the information, what is supposed to be shown.  

In your presentation you assume to be a business advisor who is presenting this data to a company that paid you to do this survey. You hopefully will …

highlight and use your diagrams to present the data concisely. 
make predictions applicable to a larger sample space, based on your data. 
you will then apply your knowledge of this data to help the company gain their sales.
explain and reflect on the accuracy of your data used. 
point out flaws and potential weaknesses of your data that might cause an inaccurate prediction. 

To ensure that this work is your own document your learning strand by strand, to ensure that your work is assessable. 

Criterion
Strand
Your work
D
identify the relevant elements of the authentic real-life situation 

D
select appropriate mathematical strategies to model the authentic real- life situation 

C
consistently use appropriate mathematical language 

C
use appropriate forms of mathematical representation to consistently present information correctly 

D
apply the selected mathematical strategies to reach a correct solution 

C
move effectively between different forms of mathematical representation 

D
explain the degree of accuracy of the solution 

D
explain whether the solution makes sense in the context of the authentic real-life situation. 

C
communicate through lines of reasoning that are complete and coherent 

C
present work that is consistently organized using a logical structure.