Conclusions (post 5)

In this post, you must synthesize the information from your published source and your survey data. Based on these sources, what logical conclusions should your readers reach? What does your research show or teach? How have your sources answered your research question(s)? Tell your readers in this post exactly how you think they should interpret your data.

Ex. The survey data presented in the chart below reveals that a significant majority of students believe girls perform better in school than boys. Although, 67% of the respondents were female, 82% of all respondents selected females as performing better in school.

Writing

The writing in this post should maintain the formal academic tone you have used in the last three posts. This is still not personal. Refrain from using "I" to emphasize how much others have to learn from your work--not just you.

Survey Data (post 4)

In this post, you must explain to your reader what your data shows.

Writing

First, explain the make-up of your respondents. How many people took the survey? How old were they? How many were male? Female? What was the racial make-up of your sample? Then, report the results of your survey question(s). You DO NOT need to explain how the data addresses your research question(s). You will do that in your next post, conclusions.

The language in this post should be academic and formal. Do not insert yourself into your data. Keep the "I" out of it.

Graphic

Create at least one graph or chart in Excel (Ms. Boswell will show us how) to represent/communicate your data.

Example

In a survey of 96 high-school freshmen, 82% of respondents selected "females" in response to the question "Which gender do you think does better in school?" The 96 respondents consisted of 32 males (33%) and 64 females (67%).

For another, more detailed example of data reporting, see the Data post on my blog from last year.