By: Jacob Kemble Matt Kelly Taylor Shannon  We realize that alcohol can play a huge role on the performance of a college student. We conducted a survey.

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Presentation transcript:

By: Jacob Kemble Matt Kelly Taylor Shannon

 We realize that alcohol can play a huge role on the performance of a college student. We conducted a survey with 13 questions which asked 75 business students questions about how much alcohol they consume and how it effects their schoolwork.

 The college we chose was Cal State University San Marcos.  We chose to give the surveys to students attending classes in the College of Business.  We conducted 75 surveys in various classes.

Drinking and School Disclaimer: This survey is confidential: DO NOT PLACE YOUR NAME ON THIS SURVEY Are you? Male Female How old are you? How many nights per week do you drink? Circle one None When you drink how many drinks do you consume per sitting? (Serving Size 1.5 oz. Liquor 12 oz. Beer 6 oz Wine) Circle one: What do you drink? Circle one: Beer Wine Hard Liquor Variety Have you ever gotten a DUI? If so, how many times? Have been arrested for being under the influence? If so, how many times? Have you ever become sick after drinking too much? If so, how many times? Has drinking caused you to be absent in class this semester? If so, how many times? Has drinking caused you to miss assignment deadlines this semester? If so, how many times? Have you ever had alcohol on campus? Have you ever been intoxicated while in class? If so, how many times? What is your current grade point average?

 For our research, we decided to answer the question whether or not alcohol affects students’ performance in school. We set out to find if there is any correlation between various alcohol related factors and students’ GPA.  Null Hypothesis: Students who drink more than 5 nights a week will have a GPA lower than 3.0.  Alternative Hypothesis: Students who drink more than 5 nights a week can have a GPA higher than 3.0.  H ₀ = µ ≤ 3.0  H A = µ > 3.0

Males: 43Females: 33 -Minimum: 20 Years Old -Maximum: 46 Years Old -Minimum: 20 Years Old -Maximum: 43 Years Old Total Number of People Surveyed: 75

Mean: 24Median: 22 Mode: 21Standard Dev: 5.37 Variance: Min: 20Max:46 Age of People Surveyed

Total Number of People Surveyed: 75

Mean: 2 Median: 2 Mode: 1Standard Dev.: 1.73 Variance: 2.99

Mean: 3.96Median: 3.5 Mode: 3.5Standard Dev.: 3.72 Variance: Min: 0Max: 17.5

Out of the 75 surveyed students: The average GPA of the 10 students who have been arrested was The student that was arrested the most times (4) had the lowest GPA of the group (2.70)

There is a negative correlation between students GPA and the number of classes they miss due to alcohol. As the number of missed classes rises, GPA decreases.

0% 1.33% 6.67% 1.33% 5.33% 20% 40% 25.33%

Totals: Yes:16 Students No: 59 Students

 Sample Size: 75  Sample Mean: 3.12  Variance:  Standard  Deviation:  Lowest GPA: 2.6  Highest GPA:3.8 Sample Size: 75 Sample Mean:2 Variance: 2.99 Standard Deviation: Lowest: 0 Highest:7

Correlation Between Number of Nights Drinking and GPA Sample size:75Sample Mean: 3.12 Standard Deviation: Lowest GPA: 2.6 Variance: Highest GPA:3.8

 There is a positive relation between the number of nights a student drinks, and their GPA.  When comparing these results to our hypothesis, we found that the number of nights a student drinks during a week did negatively affect students’ GPA.  As the number of nights per week a student drinks, the more their GPA decreases.

Mean:1 Median:0 Mode:0 Standard Deviation: Variance: Minimum:0 Maximum:7

 We completed a regression analysis comparing the number of nights students drink alcohol to their GPA.  The dependant variable (y) was the students’ GPA  The independent variable (x) was the number of nights students consume alcohol in a week.

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations75 ANOVA dfSSMSFSignificance F Regression Residual Total CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept E X Variable Regression Analysis of Number of Nights of consuming Alcohol to their GPA.

 Overall, we concluded to not reject our null hypothesis.  Over 57% of the students who drank over 5 nights a week have a GPA of less than 3.0.

 Next time would improve:  By increasing our sample size.  Have more specific questions; not using ranges.  Ex. (1-2 drinks, 3-4 drinks)  Decrease the amount of questions in our survey.  Lastly…

Make sure you team up with reliable teammates, who don’t drop the class with one week left of school. Ex. Photo courtesy of Ashty’s myspace