Milestone One – Topic Proposal Spend some time searching for ideas that will

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Milestone One – Topic Proposal
Spend some time searching for ideas that will

  
Milestone One – Topic Proposal
Spend some time searching for ideas that will form the core of your project. Once you find a good topic, write a proposal of 250-400 words. In this proposal, explain your future job, the organization, and your presentation audience. (You get to choose the workplace, your job, and the audience for your presentation. The presentation will present some information and research that would help your future workplace improve.)
Then describe your topic and what type of data you might include in your presentation. Your instructor will provide you with some feedback to help set you up for success as you begin the data collection portion of this project.
 
Milestone Two – Submitting Your Data Set
Compile and present the data that will inform your project. Examples: pie charts, bar charts, line charts, column charts, poll results, survey results, trend graphs, timelines, raw data table, summary table, narrative summary table, etc. Briefly introduce your data, present your data, then write a 200-word explanation of the data type and why this type of data is beneficial for your project. Example data types: primary, secondary, qualitative, quantitative, categorical, mixed, cross-sectional, longitudinal, etc. Incorporate concepts and key terms from the course. Use APA format for presenting data and include appropriate citations and references.
Note – Do not draw conclusions or make inferences about the data in this assignment. Only introduce the data, present the data and describe what type of data it is and why it is beneficial to your research. You will analyze the data in week 5.
Examples:
·  Compile various poll results into a bar graph.
·  Compile multiple financial results to develop a trend graph.
·  Annotate studies in a narrative summary table.
·  Create a timeline graph of historical events.
·  Develop a bar graph of demographics.
·  Compile raw data into a table.
*Use APA format for presenting data and include appropriate citations and references.* 

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