Survey: Question and Respondents

I decided to do my survey on Pizza and multitudes views about the food. I asked my respondents 3 fairly unbiased questions about how they viewed Pizza. The first question I asked was a simple Yes/No question asking them whether like they like Pizza or non. Secondly, I asked them what they favorite miscellany of pizza was (i. e. Pepperoni, Hawaiian, etc. ). Lastly, I asked my respondents to value Pizza on a dental plate from 1 to 10 (1 beingness least favorite food, 10 being their favorite food). The results I ensnare were quite interesting. I published my survey on Fluidsurveys. com and you can rule it here if youd like http//fluidsurveys. om/surveys/gary-8S/pizza/. I selected my respondents through my twitter account, in which I tweeted asking my followers to take my survey, as wellspring as direct messaging them with the link to my survey. With that being utter, my survey would be ergodic if every maven living in the US was following me on twitter, sooner I got 28 re sponses from my 270 followers. So I wouldnt say my survey was random unless the population was strictly the people who follow me on Twitter, and even because they choose to take it so it must nurse interested them undecomposed like the internet polls.As we begin to look at the results this survey has produced we delay that of the respondents, 17 of them said that Pizza was a 6 or high on their respective rating scale. The survey produced an average of about 5. 74, convey Pizza is slightly above an average food as in that respect isnt any significant data suggesting that its rattling good or really bad according to the survey. Since a 5 on any scale from 1-10 would be an average food as its in the middle and not extremely good or bad.They were a few outliars as a few people confide that it was a 2-3, and a few others put that it was a 9 even had one person put a 10. flat my comment/essay behaves were far from essays as no answer I received was more than than 5 words long. With that being said my results could easily be broken down into 3 separate categories of people. star of which is the people who are the meat lovers, these people said that their favorite kind of pizza was one that had (at least) one of the following meats on it Pepperoni, Sausage, Ham, or Bacon.These people tended to rate pizza higher on the scale as there wasnt a rating below 6 from this Sub-sample. Next we had the classify of the pilot light Cheese pizza people, these respondents werent so friendly in their ratings as to the ratings went as low as a 2 and up to a 7. This root word had the most variety of the 3, and the biggest range going from 2 to 7. Lastly we have the exotic group, which has the least number of respondents of the three. This group includes anyone who chose a pizza that wasnt one included in the meat lovers, or cheese group.Pizzas in this group consisted of Hawaiian, Buffalo Chicken, Barbeque Chicken, Veggie Lover, etc. Although this sub sample size of i t was smaller than the other two it brought the average of the whole sample up significantly with its average being a 7. 38. * Population- Everyone in the USA * Sample- 28 of my twitter followers * Statistic- 23/28 (82. 143%) people said yes, they do like pizza. * MOE= +/- 12% * Parameter- Actual % or of people who like pizza. So upon further sampling we expect approximately 80% of our intervals to contain the current parameter.Im not saying that Im 80% sure that the parameter lies within 70-94% in any way, instead Im saying if we act sampling long comme il faut that eventually 80% of our intervals would in fact contain the true parameter. Now if I were to improver the confidence level up to 95% my MOE would increase up to 19% making my new interval 63-100% so theres more room for error and we can be more confident that if we continued sampling, the parameter is far more likely to lie within our intervals.