Survey+Project+writeup

I have kept the Wiki pages we used in developing the survey to help you remember some of the things we did. I did delete the original page where we posted all of our suggested problems. Sorry.

Keep in mind: 9-10 Criterion is met extremely well. All aspects of the criterion are clearly and carefully attended to. Work is well thought-out, supported with rationale, and of a professional quality. Work is appropriate given the context of the original question. Justification/explanations are provided and are clear and well-written. Displays are of a high quality.

• Introduction to the Survey Project, including a summary of the first four steps that were done as a whole class. This includes the following five pieces: a discussion of the problem, target population, survey questions (include the purpose of each question, how it attends to the overarching problem posed, and your predictions), what we learned from our pilot surveys, and the sampling process. Please include the final raw data in this part of the project as well. Introduction accurately reflects the discussion and decisions made as a class.

1) We discussed how random we were during the survey process, and agreed that while administering the final survey we would be more random with the people we surveyed.So how random were we? How did we become more random? This sentence does not tell me much. Be clear and complete. Don't assume the reader was a part of this class when you write up your project! 2) We figured out which questions to focus on for the final survey adn which ones to cut out that didn't help us answer our original question. 3) We changed questions to be more specific 4) We took out questions that were redundant and didn't help answer the question 5) We changed the way we wrote some of the answers so that we had a good amount of both categorical and numerical questions. This will help us compare them further on in the project.All of these points are very non-specific. They could apply to another 2650 class doing this survey. BE CLEAR! Read your rubric.
 * What we learned from our pilot surveys . . .**

We as a class had to set out to figure out a problem for this project. After much discussion and talking, we wondered if college students received enough sleep. Our initial problem was the inadequate amount of sleep for college students. From this we formed our class research question which was, "Does WMU undergraduate college students on average get the recommended amount of sleep?" After completing the problem part, we were able to continue along on the Process of Statistical Investigation.Who found the recommended hours of sleep?? According to WebMD http://www.webmd.com/sleep-disorders/sleep-needs, **Most adults need 7 to 8 hours a night for the best amount of sleep, although some people may need as few as 5 hours or as many as 10 hours of sleep each day** **. I would label everyone we surveyed as an adult because everyone is eighteen an older but seeing the range I am not sure what we would should or can consider the "recommended" amount of sleep for an adult... What does everyone else think?  Great job of finding some data to compare with our survey results! Rah. **
 * A discussion of the Problem**

Survey Questions....** 1) Age was an appropriate question to ask because knowing the age range; after all data is complied, an association could be found between age and the amount of sleep needed. Our predictions are students between ages 20- 25, more sleep in required as these are the majority of ages of college students. 2.) Gender was an appropriate question because an association of sleep and gender could be found as either male or female could require more/less sleep. We predicit a 50/50 chance that females or males could get about the same amount of sleep. 3.) Credit Hours provided appropriate response as this brings an association between time spent doing madatory obligtions and free time. We predicit the more credit hours taken, the less sleep recieved. 4.) Providing an average amount of sleep per night gives an appropriate association between utilizing free time which includes sleep time and time spent doing other things. As a class, we chose to ask those surveyed to choose one whole number of hours instead of a range of hours for more specific answers for their averages. Our predictions are the most moderate amount of sleep recieved through the night the better off a person feels. 5.) We predict that the amount of sleep recieved throughout a night a person is more efficent throughout the day and likewise if a person recieves less sleep througout the day they will be less efficient. 6.) Work hours provide an appropriate response as this brings an assosication between madatory time spent on obligations and free time where free time includes sleep time. Predictions are the more hours a person works, the less hours a person sleeps. 7.) The amount of hours of sleep a person thinks they need is appropriate as it brings an association between how much sleep they are actually recieving and how much sleep is required. Predictions are a when a person recieves a moderate amount of sleep; about 6-8 hours, that a person will function more efficently.

Target Population... WMU Undergraduate students taking classes during the Summer I Semester A total of six surveys were given to random WMU undergraduate students by each student in our class. To reach our target population, each student in our class should have given our survey to 3 males and 3 females. This would ensure that our results were not skewed because of too many surveys coming from one gender. Read this again. With the words "were taken", what does it sound like? Also, given your next sentence, this reads like your target population is 3 male and 3 female. Is that what you mean? Please read what you write several times so that clarity is not an issue. By narrowing our target population down by these criteria we are able to draw concise conclusions based on a specific group of people, allowing us to better answer our initial question. Without a target population, any conclusions drawn would produce weak conclusions because the population would be so scattered.