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## Question:

When conducting the analysis, you will apply techniques from descriptive analytics, visualisations,and probabilities; hence you will use various tables, graphs, and summary measures. Sometimes we refer to this type of analysis as “exploratory analysis”. When exploring data, we often produce more results than we eventually use in the final report, but by investigating the data from a number of angles, we can develop a much better ‘feel’ for the data: a deeper understanding of the data.

In order to prepare a reply to the General Manager, you will need to examine and analyse the dataset thoroughly. The General Manager has asked a number of questions. The following guidelines for each question should be considered carefully:
1. A summary of sales: To answer this question you should calculate, then analyse the total sales by itself. You should derive summary measures and check for unusual data.
2. Sales by stores: Investigate any particular relationship between sales and stores. Remember to include the online marketspace as the fifth store.
3. Sales by weekdays: Explore any particular relationship between total sales and weekdays. You can be creative and combine some weekdays to get a more meaningful conclusion.
4. Sales by month: Research any particular relationship between sales and months. You can extract months from date.
5. Sales by number of visitors: To answer this question you should calculate the total number of visitors for each day. Then, you can analyse any potential relationship between sales and number of visitors.
6. Probability: To answer this question, you need to do the calculationsfor each store separately using the relevant Excel functions.

The analysis section you submit should be no more than 8 pages of computer output (i.e., output that you have copied into a Word document from Microsoft Excel). When you conduct your analysis,you will produce much more than this initially, but you should trim it down to only show the most relevant results in your maximum of 8 pages (of analysis). Where possible, it is always useful to produce both numerical and graphical statistical summaries as sometimes, something is revealed in one that is not obvious in the other. Within the Word document, your analysis should be presented in the same numbered sequence (and contain that same numbered sequence) that the questions have been asked by Claudia Brady (the General Manager). Your analysis should be clearly labelled and grouped around each question. Poorly presented, unorganised analysis or excessive output (more than 8 pages) will be penalised.

It is usual, when writing any professional document, to caption any tabular or graphical output professionally. For example, TABLE 1: Summary statistics for the measure Gross Profit.
Part 2: Email
You are required to reply by email, detailing essential information and conclusions from your data analysis. You are allowed no more than 2 pages to convey your written conclusions. Your 2 page email will be included as a front section to your 8 pages analysis. A document 10 pages in length.Keep the English simple and the explanations succinct. Avoid the use of technical statistical jargon.Your reader will not necessarily understand even simple statistical terms, thus your task is to convert your analysis into plain, simple, easy to understand language.

### Cite This Work

[Accessed 22 April 2021].

My Assignment Help. 'Business Analytics' (My Assignment Help, 2021) <https://myassignmenthelp.com/free-samples/mis171-business-analytics/sales-per-day.html> accessed 22 April 2021.

My Assignment Help. Business Analytics [Internet]. My Assignment Help. 2021 [cited 22 April 2021]. Available from: https://myassignmenthelp.com/free-samples/mis171-business-analytics/sales-per-day.html.

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