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campaign Revenue is an important measure for the Deakin Melbourne Boomers

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Deakin Melbourne Boomers

The Deakin Melbourne Boomers have been a part of the Women’s National Basketball League (WNBL) since 1984, making the club both the oldest WNBL club and the longest-running elite-level women’s sports team in Australia (in any sport). The iconic brand of the Boomers is both nationally and internationally recognised, most notably for being home to more Olympians and Opals than any other basketball club across Australia.

For 30 years the team was known as the Bulleen Boomers, before transforming into the Melbourne Boomers in 2013. In 2015 Deakin University joined as the club’s Naming Rights partner.  The Boomers’ Melbourne rivals are the Southside Flyers, which were formed in 2019. The Flyers are based in Dandenong. The Boomers are also based in Melbourne’s eastern suburbs. There are no other Melbourne-based WNBL teams. Currently, the Boomers have almost 7,000 members. There are also more than 3,000 non-members on the Boomers’ database, making a distribution list of over 10,000 contacts.

Scenario: The Boomers Campaigns and Promotions

The Boomers use a variety of “Campaigns” to engage with all contacts on their database. All campaigns invite members to renew their membership and non-members to join. Assume that you are recruited by the Boomers as a business analyst. You have been asked by Ms Christy Collier, the General Manager, to analyse a sample of 250 randomly selected campaigns from the past 10 years alongside new memberships from January 2011 to December 2020. Christy requires answers to the following questions. Your responses will be used as part of a report to the Managing Board. Christy’s questions together with guidelines (shown in blue) are presented below. For all questions use a 5% Level of Significance (α = 5%).

1. Campaign Revenue is an important measure for the Deakin Melbourne Boomers. Please provide details of the average “Campaign Revenue” in different “Campaign Types”.

• Create suitable tables of summary statistics and at least one graph,

• calculate 95% confidence interval estimates for the average “Revenue” for each “Campaign Type”,

• in the Conclusion section write a (one sentence) conclusion for each “Campaign Type” (e.g., “I am 95% confident…”).

• in the Conclusion section, in one sentence, answer the question “Which “Campaign Type” generates the highest Revenue?”

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