Thompson Rivers University - BA 3020QA BA3020QA UMD Assignment 3 - Nov 2020

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Using and Managing Data and Information April cohort (2019 – 2020) BA3020QA - Assignment 3 Task 1 A supermarket manager wanted to investigate the profile of shoppers resistant to the use of sel... f-checkout 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 worksheet, 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 the codes for the categories of the following variables: • Gender • Age • Education • Are you a regular user of self-checkout user Note to students: There are FOUR 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 (Monday 14th December 2020 before 3pm). This study source was downloaded by 100000784424693 from CourseHero.com on 04-02-2021 05:06:21 GMT -05:00 https://www.coursehero.com/file/75934215/QA-BA3020QA-UMD-Assignment-3-Nov-2020pdf/ This study resource was shared via CourseHero.com 2 2. Produce frequency and percentage frequency 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 3. Draw the graphical representation for each of the following variables: • Education (Pie chart) • Age (Bar chart) • Spending (Histogram) using the following categories [Show More]

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