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Using and Managing Data and Information
November cohort (2020 – 2021)
BA3020QA – Assignment 3 – RESIT
Task 1 (25 Marks)
A supermarket manager wanted to investigate the profile of shoppers resistant
to the use of selfcheckout counters available at the store he manages and to
find out the reasons behind their resistance. He asks three of his staff to
conduct a survey among customers using the store in Sheffield Hallam area
during a quiet working day in October of 2019 as they exited the store.
The short questionnaire used for the survey as well as the data collected can
be found on an Excel file named “SCC”. There are two worksheets, one for
the questionnaire used and the other worksheet for the raw data collected
from the customers. The data worksheet has 18 columns. Column A
“Customer” is simply a column to identify the customer surveyed – Customer
1, Customer 2 etc… Each of the other 17 columns refer to a question –
Column B refers to the gender question, Column C refers to the age question
etc…
The manager has employed you as data analyst to conduct this investigation.
Your analysis should use the statistical facilities on Excel as required below.
Required:
1. Label (show 5 rows) the codes for the categories of the following variables:
• Gender
• Age
• Education
• Are you a regular user of selfcheckout
Note to students:
There are FIVE tasks and you are expected to complete all of them.
You are required to transfer the work of all tasks on to a single wordprocessed MS Word file and upload it on Turnitin, which is the
submission of this assignment. The deadline for this assignment is
(Thursday 21st October 2021 before 3pm).
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2. Produce frequency and percentage frequency tables (using Pivot tables) for
each of the following variables:
• Gender
• Education
• Age
• SCC user
• Spending (£) For this last quantitative variable, the categories should be as
follows:
<100  100 109 
110 119 
120 129 
130 140 
>140 
AssignmentTutorOnline
3. Draw the graphical representation for each of the following variables:
• Education (Pie chart)
• Age (Bar chart)
• Spending (Histogram) using the following categories:
<100  100 109 
110 119 
120 129 
130 140 
>140 
• Spending (Box and whisker) graph
4. Consider now the variable “Spending (£)”.
• Calculate the minimum, maximum, median, quartiles and the mean average
statistics (show Excel formulas).
Note:
The tasks and all their requirements should be clearly separated (preferably
each task starts on a separate page). All variables should be clearly named
and their correct categories clearly labelled. Graphs should be appropriate
and correctly labelled and each of them on the same page. Any calculations
should be clearly presented and explained.
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Task 2 (20 Marks)
A plumber has decided to use the techniques of project management in order
to plan a job. He knew all the different activities of the job, their precedence
and their average durations. They are shown on the table below.
Activity  Duration (days) 
Preceding activities 
A  3  None 
B  3  None 
C  4  A 
D  8  A 
E  2  B and C 
Required:
1. Draw a network diagram representing the sequence of activities and the
dependence between them.
2. Determine how long it will take to complete the job by conducting the
forward pass
3. By conducting the backward pass, identify the critical path and the noncritical path(s).
Note:
The work for this task should be produced using Word drawing facilities. The
forward and backward passes should be clearly shown on the diagram. The
calculations should be shown next to the network diagram.
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Task 3 (25 Marks)
The quarterly sales figures for the number of shoes (pairs) sold at a shoe shop
is shown on the table below. Enter the following data into Excel.
Year  Quarter  Sales 
2017  1  139 
2  135  
3  91  
4  113  
2018  1  145 
2  137  
3  85  
4  118  
2019  1  150 
2  141  
3  89  
4  119  
2020  1  156 
2  149  
3  105  
4  125 
Required (using Excel):
1. Draw a line graph to represent the sales figures.
2. Show formulas and calculate the moving averages.
3. Show formulas and calculate the centre moving averages.
4. Present the original sales data and the trend of sales figures on the same line
graph.
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Task 4 (15 Marks)
The following information relates to the probability of two different
managers selecting a salesperson for a job:
Probability of Manager Toni choosing a Salesperson is 0.5
Probability of Manager Joe choosing a Salesperson is 0.4
Over the last 10 working days, Manager Toni has worked for 6 days and
Manager Joe worked 4 days. Only one manager works in a day.
Required:
Build a Tree diagram to show the probabilities of a Salesperson being
selected.
Show the different branches of the Tree diagram with all the calculations.
Include in the Tree diagram the overall probabilities. Calculate the probability
of the Salesperson.
Note:
The work for this task should be produced using Word drawing facilities.
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Task 5 (15 Marks)
A small cheese maker specialises in two types of cheese – Brie and Gouda
that he makes and sells in packets of 400 grams. The cheese maker has
estimated that each packet of Brie uses 1.8 litres of special milk and 100
grams of special salt. For the Gouda cheese packet, the amounts of special
milk and salt needed are 1.2 litre and 150 grams respectively. The cheese
maker has a limited supply of special milk and salt and a maximum of only
120 litres of milk and 12000 grams of salt is made available each week. Once
produced and sold, the Brie packet returns a £4.50 profit and £3 profit for the
Gouda cheese.
Required:
1. Enter the information on the table below into an Excel file. You should also
show an appropriate formula for “Total profit” and quantity “Used” for each
of the “milk” and “salt” resource in the cells as indicated below.
Packet  Brie  Gouda  
Quantity  0  0  Total Profit 

Unit profit (£) 
4.5  3  Insert formula 

Used  Symbol  Max  
Milk (litres) 
Insert number 
Insert number 
Insert formula 
120 
Salt (grams) 
Insert number 
Insert number 
Insert formula 
12000 
2. Find the solution of the linear programming problem (using Excel Solver)
3. State the production of each type of cheese that yield maximum profit.
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