Module Code: MGT223

Coursework Code: MGT223-1

Module Title: Business Statistics

Date Available: April 2, 2025

Submission details: May 1, 2025, 12pm (noon).

Electronic submission only through Blackboard.

You can submit your assignment multiple times to the submission link on the module Blackboard site. Each time you submit you will receive a Similarity Report. You can check this and improve your referencing before the final deadline.

After 3 submissions you will need to wait 24 hours before you receive a new report.

Please note: each new submission replaces any previous submission. It is not possible to retrieve a previous submission.

Your final submission must be made before the deadline to avoid late penalties.

You should note that the time of submission is taken from once the document has been successfully uploaded and confirmed. This may take more than five minutes during busy periods. Late penalties will be applied to any work submitted from 12.01 pm on May 1 onwards. Details of calculating a late penalty can be found in your program Handbook. It is your responsibility to ensure the correct document/file has been uploaded successfully.

When submitting students must:

1.   Include a completed cover sheet (available from Blackboard)

2.   Use ‘Student Number, MGTXXX-1’ (e.g. 200011001 mgt223-1) as the document’s file name and the Assignment Title in Turnitin. You may find it helpful to submit the file in PDF format as this will preserve the formatting of statistical output etc.

Contribution to Final Mark for Module: 30%

Maximum Word Length: 1000 words.

The above requirement applies to the main body of the text and excludes computer outputs and bibliography. If you exceed the word length, you will be penalised.  For details, see the Management School Handbook.

Please note that SUMS does not have a word count tolerance; it is a stated maximum as outlined above.

Requirements:

A manager of a large retail chain is seeking to analyse the results of a marketing campaign conducted to increase the sales in the stores of the chain. With this purpose, 12 stores were randomly selected before the campaign was launched and the average daily sales over two full months was collected for each one. After the campaign was completed, again 12 stores were randomly selected and the average daily sales over two months was recorded for each.

The data set has been individually assigned to you and it is available in the Excel workbook provided in the coursework folder in blackboard (Each student works with a separate data).

a) Provide descriptive statistical and graphical summaries of the data before and after the Marketing campaign. (Suggested word count 200–250 words.)

b) Analyse the data using an independent-samples t-test.

(Suggested word count 100–200 words.)

Assume now that the stores analysed after the campaign are the same selected before the campaign. Thus, we should look at each row of the data as corresponding to one store (before and after the Marketing campaign). Assuming this, please answer to parts (c), (d), (e) and (f).

c) Analyse the data using a paired t-test.

(Suggested word count 100–200 words.)

d) Use a suitable non-parametric test to investigate the impact of the Marketing campaign on the daily sales.

(Suggested word count 100–200 words.)

e)   Compare the results of the tests conducted in (c) and (d) and state, with an explanation, which test is most appropriate. (Suggested word count 50-100 words.)

f)   Provide a summary of your findings, suitable for inclusion in a management report.

(Suggested word count 100–200 words.)

The marking criteria focus on your technical ability and your ability to express the results clearly and concisely in technical and non-technical terms.

Your answers should include a full but concise interpretation of your analysis, stating and assessing where possible, any assumptions underpinning the statistical tests and indicating any hypotheses that you are testing.