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A supermarket manager wanted to investigate the profile of shoppers resistant to the use of self-checkout counters available at the store he manages and to

A supermarket manager wanted to investigate the profile of shoppers resistant to the use of self-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 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 self-checkout

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

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