Period 3
By: Bekah Anderson, Isabel Gallegos, Brittany Estrada, Cami Butler
Saturday, 25 October 2014
Our purpose of doing this experiment was to see whether people preferred quantity or quality when eating out. In order to get our data we randomly selected which classrooms at Hillcrest we would survey. After the random classes were selected we blocked gender inside the classes in order to get rid of bias between men and women. The majority of males said they preferred quality, 41, compared to the 8 that said they preferred quantity. For the females the majority also said they preferred quality, 50, compared with the 8 that said they preferred quantity. We found that in both males and females, quality was preferred over quantity. There were 7 of the people surveyed who said they wanted both, we excluded them from the graph and the experimental data. The difference is statistically significant in which quality is far more preferred than quantity.
Thursday, 23 October 2014
We are surveying whether Hillcrest High School students prefer quantity or quality when eating out. We are taking a random cluster sample of 4 classes at Hillcrest, and blocking by gender. The students being surveyed will write on apiece of paper whether they prefer quantity or quality. They will also sign the back of the paper agreeing to sign the waiver. The pieces of paper will then be placed in a plastic bag to be mixed up. The question the students of Hillcrest will be asked is, "When eating out do you prefer quantity or quality?"
We have minimized the major source of bias by blocking in gender, due to the fact that men and women may have different opinions on whether they prefer quantity or quality, we have accounted for this by sampling men and women separate. We are performing a randomized cluster sample so that we are not bias towards one class than another.
We have minimized the major source of bias by blocking in gender, due to the fact that men and women may have different opinions on whether they prefer quantity or quality, we have accounted for this by sampling men and women separate. We are performing a randomized cluster sample so that we are not bias towards one class than another.
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