Post your proposal summary here. Include who you are working with, population, questions, type of bias, predicted swing, where and how you will obtain data (non biased sample). You will provide this info in detail in your one page paper.
Rubric and Details
I'm working with Sabrina. Our population is Beverly High School students expect freshman. Our question is about students feeling towards the new schedule. Our bias is a wording bias. We expect people to say they don't like the new schedule more when we present the question in a negative way and say they do like it when we present it in a positive way. We will get our sample by asking the different questions to different classes.
ReplyDeleteI'm working with Taylor, Mark, and Will. Our population is students in the BHS cafeteria. Our question is if you prefer pepsi or coke. Our type of bias is interviewer bias. We expect more people to say they prefer pepsi when we are holding a pepsi can, and more people to say they prefer coke when we are holding a coke can. We will get our sample by asking random students in the cafeteria at BHS.
ReplyDeleteIndia, Hannah, Page, and I are working together and we are going to ask Beverly High students in the library whether they think students who wear glasses are smarter than those who don't. We will use interviewer bias as some people will be wearing glasses and others won't and we predict the swing to be towards glasses don't make someone smart. The students will be chosen at random periods through the random number generator.
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ReplyDeleteI am working will Michaela Gill and Kylie Martin. We will be asking random BHS students whether they prefer to vacation in Maine or Cape Cod during the summer. We will be be using interviewer bias by having one interviewer wearing a Cape Cod sweatshirt and the other wearing a Maine sweatshirt. I believe more people will choose Cape Cod because it is always very crowded and popular. Our population is BHS students.
ReplyDeleteI am working with Jenna LoVasco and Hayley Lewis. We will be asking BHS students if they think that girls can be just as athletic as boys. We will use interviewer bias as we will have the interviewer be a male while at other times we will have the interviewer be a female. We predict that more people will say that girls cannot be as athletic as males. We will get our sample by asking random BHS students.
ReplyDeleteI am working with Andrew, Kenny, and Nick. We're going to ask BHS students (except freshmen) whether they think the laptops have improved teaching and learning this year. We'll compare the answers to "Do you agree or disagree that the laptops have improved teaching and learning?" with the answers to "Do you agree with Mr. Bauer's statement that the laptops have improved teaching and learning this year?". The type of bias present in our study will be wording bias. We expect the data to swing toward disagreeing with the first question, and agreeing with the second one. We'll ask students in the cafeteria at random.
ReplyDeleteI am working with Zach Duguid, Jeremy Dodge, and Erin Silvestri. We will be asking BHS students (of all grades) whether they think football players are, on average, less intelligent than kids who do not participate in football. We will use interviewer bias by either wearing something football related (like a BHS football jacket or sweatshirt) and not wearing anything related to football. We predict that more people will say they dont think football players are on average less intelligent than average students when the interviewer is wearing something football related. Our sample will consist of randomly chosen BHS students in the hallways and classrooms.
ReplyDeleteI will be working with Adi for this quarters project. The population for this bias project will be random students of various grades in BHS. The question of study is how will words or symbols on words affect peoples “randomness”. We will do this by wearing a shirt with a given number and asking students to a pick a number between 1 and 10 while wearing the shirt and not wearing the shirt. This interviewer bias will probably result in more people picking the number that is on the shirt when it is worn compared to wearing a regular shirt. We will obtain our data from people in the library.
ReplyDeleteIm working with Laura Handley and Alexa Gahan. Our population is shoppers of all ages at the North Beverly Plaza/Stop&Shop. We will be asking people if they would prefer to go Harvard University of MIT? We will be using interviewer bias by wearing an MIT sweatshirt and a Harvard sweatshirt. We predict that more people will say MIT when we are wearing that sweatshirt and more people will say Harvard when we have that sweatshirt on. We'll be asking random people of all ages in the different stores.
ReplyDeleteI will be working with Connor Flynn. Our population will be random students at BHS in all four grades. The question of study will be whether or not they think that casinos should be built in Massachusetts. We will use a a wording bias by asking the question in a pro-casino manner to half of the population and an anti-casino tone to the other half. The bias will result in more people saying yes to casinos when we outline their benefits and more people saying no when we outline their flaws.
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