Statistics Presentation: Relationship Between Drinking and Ordering Takeout

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Relationship Between Drinking and Ordering Take- Out By: Liam Fama, Evan Donahue, Bryan Carter, Stephen Dierks

Transcript of Statistics Presentation: Relationship Between Drinking and Ordering Takeout

Page 1: Statistics Presentation: Relationship Between Drinking and Ordering Takeout

Relationship Between Drinking and Ordering Take-

OutBy: Liam Fama, Evan

Donahue, Bryan Carter, Stephen Dierks

Page 2: Statistics Presentation: Relationship Between Drinking and Ordering Takeout

Background When people go off to college their habits in life change. Students begin to mature and take part in adult activities such as drinking. Many people have noticed that for some reason Dominoes and other take out franchises are on campus on the weekend. Could this be because people need extra food to suppress the effects of alcohol?

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Initial & Precise QuestionsInitial Question:

Whether drinking is related to ordering take out?

Precise Question:

Whether there is an association between the number of nights students go out and drink, and the number of nights students order take out?

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VariablesExplanatory Variable:

Whether or not college students drink alcohol

-Measured by amount of nights per week college students drink

Response Variable:

Whether or not college students order takeout

-Measured by amount of nights per week college students order take out

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Data Collection-Four Randomly selected dorms throughout campus, randomly selected floors

-Anonymous survey was on Iphone and Ipad using Google Form. (eliminates response bias, not answering us directly)

-Two questions: How much do you drink/go out in a week? How many times do you order takeout a week?

-Possible answers for both questions include: (1) Zero nights/week, (2) 1-2 Nights/Week, (3) 2 or More Nights/Week.

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Data

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Data

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Sampling Test- Our data tells us that 41 of the 67 students (61.19%) we surveyed

were female. According to a 2012 Forbes Article, the proportion of female students for all colleges in the United States was 57.85%.

- Using a one-sample proportion test, we did not find significant evidence at the 5% level (p-value = 0.57936) that the population proportion of females (from our sample) differs from 57.85% (reputable figure).

- Therefore, there is not significant evidence that our study is biased. The test confirms that our study is representative of our population and that we sampled randomly.

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Hypothesis Testing-Alternate Hypothesis: Drinking and ordering take out have a correlation.

-p-value = 0.0029171

0.0029171 < .05 so we found significant evidence at the 5% level that drinking alcohol and ordering take-out are related in all college students. Therefore, there is evidence of dependence between the frequency to which students order take-out and their consumption of alcohol.

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Assumptions(1)The sample we chose is indeed a simple random sample as

determined by our sampling design. Each dorm, floor, and student surveyed was chosen at random using a hat. Therefore, assumption 1 is met.

(2)Being that our population is all college students, the large population assumption is met. Our sample consisted of 67 students*20 = 1,340. Clearly there are at least 1,340 college students in the world.

(3)The normality assumption was not met for our study. The Chi-Squared template indicated that only 44.44% of expected cells had a count of at least 5. This is much less than the required 80% criterion.

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Sampling Bias- Students surveyed were mostly freshmen and sophomores

- People surveyed from other dorm buildings

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Measurement Bias- Non-response bias

- Some students not present for survey

- Some did not answer door

- Students response around friends

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Possible Lurking Variables- Student athletes (less likely to drink, more health conscious)

- Wealth of students

●More money=More alcohol

=More take out

- Jobs

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Ways to Improve Study- Could be a larger sample size

- Get all grades involved, see if the fact that Juniors and Seniors being above 21 might skew or affect data a certain way

- Also Juniors and Senior might have jobs so the fact they have more money than Freshman or sophomores could skew data a certain way

- Change the day of the week that data was collected, Friday isn’t the best day possible to collect data about drinking

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ConclusionWe found significant evidence that a college student’s alcohol consumption is associated with a college student's frequency to order take out.