For the assessment of Foundation skills in data analytics, you need to investigate the dataset interpret the result and than draw the conclusion while analysis the technomart (fictitious company) for

Assignment 2 – Analysis of TechnoMart Industries employee satisfaction survey

This assignment assesses following Graduate Learning Outcomes and related Unit Learning Outcomes:

The purpose of this assignment is to investigate a dataset utilising the knowledge learned in Modules One and Two. This will enable conclusions to be drawn that ultimately assist in decision making.

The assignment requires you to analyse a given dataset, interpret the results, and then draw conclusions such that you are able to reply to specific questions being asked of you in the form of a report. (These questions are asked in the following memorandum).

The aims of the assignment is to:

• provide you with some examples of the application of data analysis within an organisation

• test your understanding of the material in the relevant topics

• test your ability to analyse and interpret your results

• test your ability to effectively communicate the results of your analysis to others

Before tackling the assignment, make sure you have prepared yourself well. As a minimum, please read the relevant sections of the prescribed text and listen/watch the pre-recorded material for Modules 1 and 2.

TechnoMart Industries is an automobile parts manufacturer with 9800 employees (TechnoMart is a fictitious company and meant to bear no resemblance to any existing organisation). It wishes to study its full-time workforce by developing an employee profile that measures factors such as income, job satisfaction and career progress. Emma Saward, the Vice-President of Human Resources, hires MDB Corporation, a consulting firm, to survey TechnoMart employees. A survey of a random sample of 400 staff was conducted via online questionnaire.

The questionnaire used for the survey can be found in the TechnoMart2018.xls file (All data in the spreadsheet is fictitious). Please ensure you read that questionnaire. To understand what each variable means, please cross-reference to the questionnaire given in the database file.

In the assignment, you play the role of Madison Thomson, an analyst at MDB Corporation. You are often required to report outcomes of your analysis to clients who have little or no knowledge of data analysis. Emma Saward, the Vice-President of Human Resources at TechnoMart Industries, has written to you regarding certain matters relating to the employee satisfaction survey. Her memo to you is reproduced below:

Memorandum

In addition to the overall analysis you are carrying out for work hours, I am interested in how union members in the company compare to non-union members in regard to a few key variables. In particular, I want you to investigate how union members and non-union members compare in regard to: (a) Hours worked

1. Occupation

2. Job satisfaction

Based on the above, can you provide me with a brief summary of how the two groups compare.

Of all the variables you have collected, is there any one that stands out as a possible explanation or predictor of those people likely to achieve a higher pre-tax income than others do?

Senior management are concerned that over the next few years the company will need to undertake a large recruitment drive as our workforce is aging and a substantial number of employees will be retiring. Can you provide me with an estimate of the:

1. average age of TechnoMart employees

2. average time our employees have been working at TechnoMart

In a recent Enterprise Bargaining meeting, the union made a number of claims that I would like you to check.

1. It was also mentioned that our employees are very loyal to the company and that the union believed the average length of employment at TechnoMart would exceed the industry average of 7.5 years. Could you check if this claim is true for all employees? What about for only male employees? What about only for female employees?

2. There is some speculation that the union members work at least 45 hours per week. Is there any way of confirming this?

Finally, I am interested in your opinion about future surveys of our employees.

1. I am concerned that a sample of only 400 employees seems too mall compared to the population of 9800. Could you explain to me how we calculate an ideal sample size?

2. Of particular interest to me is being able to accurately estimate the size of the problem we have with staff working excessive hours (i.e. more than 60 hours a week). In other words, in order to accurately estimate the size of our overtime problem, do I have a sufficient number of staff in my sample who work more than 60 hours? If not, how many should be sampled?

I look forward to your response.

Sincerely,

Emma Saward

Requirements:

• Your report should be no longer than 2000 words and there is no need to include, Charts and Tables, or Appendices in the report

• Your Charts/Graphics and Tables are only to be placed in the Data Analysis file i.e. the Excel spreadsheet

• The report is to be written as a stand-alone document (assume Emma will only read your report). Thus, you should not have any references in the report to your data analysis output. Eg. “According to Table 1 in the analysis…”

• Your report must have an informative title

• Your report must contain an executive summary that explains in plain language what the report is for and summarises the main findings. The executive summary should be no more than 2/3 page

• The body of your report must be set out in the same order as in the originating memorandum from Emma Saward, with each section (question) clearly marked

• Use plain language and your explanations succinct. Avoid the use of technical or statistical jargon as Emma Saward will not necessarily understand even simple statistical terms. As a guide to the meaning of “Plain Language”, imagine you are explaining your findings to a person without any statistical training (e.g. someone who has not studied this unit). What type of language would you use in this case?

• Marks will be lost if you use unexplained technical terms, irrelevant material, or have poor presentation/organization

• All Microsoft Excel data analysis output associated with each question in the Memorandum is to be placed in the corresponding tab in the yourstudentid.xlsx file

In order to prepare a reply to Emma’s memorandum, you will need to examine and analyse the dataset TechnoMart2018.xlsx thoroughly.

Emma has asked a number of questions and your Data Analysis output (i.e. your charts/tables/graphs) should be structured such that each question is answered on the separate tab/worksheet provided in your Excel document. There are also extra tabs in TechnoMart2018.xlsx called CI, SampleSize and HT and you should use the various templates contained in these tabs in your “Confidence Interval”, “Sample size” and “Hypothesis Testing” answers.

In order to effectively answer the questions, your Data Analysis output needs to be appropriate. Accordingly, you’ll need to establish which of the following techniques are applicable for each question:

• Summary Measures (Descriptive Statistics, Inc. Outlier detection)

• Comparative Summary Measures (i.e. Descriptive Statistics for multiple values of a variable)

• Suitable tables and charts or graphics (Module One) that will illustrate more clearly, other important features of a variable

• Scatter diagrams, Correlation analysis and Cross Tabulations (sometimes called Contingency Tables), used to establish the relationships (dependencies) between two variables

• Confidence Intervals: You can assume that a 95% confidence level is appropriate. We use Confidence Intervals when we have no idea about the population parameter we are investigating. Additionally, we would use Confidence Intervals if we are asked to provide an estimate of a population parameter. You can use the relevant Excel template provided in the dataset and copy to the applicable question tab

• Hypothesis Tests: You can assume that a 5% level of significance is appropriate. We Use Hypothesis Tests when we are testing a Claim, a Theory or a Standard. You can use the relevant Excel template provided in the dataset and then copy to the applicable question tab

Note: There is an Appendix at the end of each Chapter of the Prescribed Textbook which describes the basic Excel steps associated with that Topic. Chapters 1 to 9 are applicable for this assessment.

Your completed assignment should be in two separate files:

• Data Analysis (Part A): An Excel document containing separate tabs/ worksheets with charts/ tables/ graphs for each question

• Report (Part B): A Word document of no more than 2000 words which is not to contain any charts/ tables/ graphs

• All interpretations should be presented in your “Report” and the excel document should only contain your intermediate analysis and final output