There are two tasks in this assignment: Task 1 and Task 2. You must complete both tasks. Each task is worth equal marks. The overall word limit for both tasks together is 2000 words. You should spend around 1250 words on Task 1 and 750 words on Task 2.

For Task 1, you should describe and evaluate a research project you would conduct in response to the organizational scenario provided. For Task 2, you should conduct some statistical analyses on the SPSS dataset provided and report the results of your analyses. The full details of each task are provided below.


Imagine that you have been commissioned to undertake some research for a railway company that provides train services for a large city. The Chief Executive Officer (CEO) of the company is concerned that their passengers are dissatisfied, as there have been many complaints on social media. The CEO would like to check how satisfied the passengers are with the train services and understand the reasons why.

You are allowed to administer your own questionnaire to passengers, where you can collect quantitative data about the following variables:
(1) Passenger satisfaction
(2) Passenger age
(3) Passenger gender
(4) Passenger travel purpose (e.g., commuting, tourism)

The company can also provide you with the following existing quantitative data to help your research:
(1) Train punctuality records
(2) Train crowding records
Describe and critically evaluate how you would conduct research to understand how satisfied the passengers are with the train services and understand the reasons why. Your answer should address all stages of the research process.


Each year, Deloitte, one of the “Big Four” financial consultancy firms, produces an annual report about the financial performance of the world’s 20 richest football clubs, known as the Football Money League. Most of the quantitative data for this assignment are drawn from the last three editions of this report, together with data from FourFourTwo magazine’s 100 Best Football Players in the World 2018 report, the official football league results for each country, and the UEFA country coefficients. This is background information only; you do not need to report this in the assignment.

The quantitative SPSS dataset accompanying this assignment that is drawn from these sources is called: Football_Business_[LUBS2910_2020].sav

You should use SPSS software to conduct the following statistical analyses on the dataset and then report your analyses in the form of the Results section of a journal paper.

1. Calculate the mean and standard deviation for each continuous data variable.
2. Calculate the correlations between all continuous data variables.
3. Report these means, standard deviations, and correlations in a correlation matrix.
4. Draw a line graph of the mean revenue for the football clubs over the three seasons 20162017, 2017-2018, and 2018-2019.
5. Conduct and report a one-way Analysis of Variance (ANOVA) to examine any changes in revenue over the three seasons 2016-2017, 2017-2018, and 2018-2019.
6. Draw a bar graph showing the mean number of “Facebook likes” and “Twitter followers” over the two seasons 2017-2018 and 2018-2019.
7. Conduct and report a t-test comparing the number of “Facebook likes” in the seasons 20172018 and 2018-2019.
8. Conduct and report a t-test comparing the number of “Twitter followers” in the seasons 2017-2018 and 2018-2019.
9. Conduct and report a regression analysis with revenue in the 2018-2019 season as the dependent variable and the following as independent variables: team ability in the 2017-18 season, “Facebook likes” in the 2018-2019 season, “Twitter followers” in the 2018-2019 season, and team performance in the 2018-2019 season.

You should also explain briefly why you have used each statistical technique. Do not simply paste the raw SPSS output into the report; you should extract the relevant results from the output, then structure and present them following the formats you have been taught.

Assignments should be a maximum of 2,000 words in length.

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