Show what arethe methods of this survey below? (How do you get the data for statistical analysis?)

A Relatable Instance: Starbucks

Starbucks is trying to drive up college campus sales :

Only 300 of the 12,000 Starbucks locations in the U.S. are on college campuses

Yet 33.78% of the revenue is generated through customers ranging from 18 - 29 years of age

Starbucks mobile coffee shops to be implemented in three college campuses starting this fall. Larger campus presence with a smaller investment

Caffeine Amongst College Students:

92% of college students consume caffeine. Coffee is the preferred caffeine drink among male and female students.

Coffee products represent 18% of food sales on college campuses compared to 9% of total sales within the fast food industry

overall.

SURVEY DATA From college Students

Number of respondents : 55. Female : 26 Male : 29 GPA: 0 - 4.00 Scale

Caffeine Containing. Products: Coffee Tea. Energy Drinks. Soda/Soft Drinks. Pre-workout

* Sources attached images below:

Visualization: Histogram 1 Using cups of coffee as our x variable and number of people as our y variable, Histogram of Cups of Coffee we can see that most of the people in the class drink 0-5 cups of coffee per week. The total average is around 3.9 cups of coffee per week from our data. Using R studio to separate the data into 19 15 20 Number al Poop three groups with three different colors for better visualization. 10 13 14 Cups of Coffee (Per Week) Histogram 2 Using cups of tea as our x variable and Histogram of Cups of Tea number of people as our y variable, we can see that most of the people in the class drink 0-4 cups of tea per week. The total average is around 2.8 per 15 cups of tea per week from our data. Numbarel People Using R studio to separate the data into three groups with three different colors for better visualization. Histogram 3 Using cups of energy drink as our x Histogram of Cups of Energy Drink variable and number of people as our y variable, we can see that there are many people in the class who don't drink energy drinks. But, there are around 7 people in our class who drink Nurdeval People 1-2 cups of energy drinks. Since most people don't drink energy drinks, We only need to separate the data into two groups with two different colors for better visualization.Histogram 4 I Using cups of soda as our 3-; Hluogrumnlciapaofoda variable and number of people as our y variable. we can see that there are many people in the class who don't drink soda. But. we can still see that there are '3 people who drink 34 cups of soda in our class. Since most people don't drink energy drinks. We only need to separate the data into two groups with two different colors for better visualization. II] HIJI'I'I'JIF :rlF'tlrJLItl 1! Limitations I Sampling Bias: Broad randomized sample was not collected, only one department in the entire university was surveyed o Lack of generalizability o The MSBA program in itself is competitive and students have a higher average GPA than the university wide average I Caffeine from food sources wasn't examined I Non-response bias I Recall bias Conclusion I Caffeine doesn't affect academic performance {CPA} for our class. I Caffeine is most widely used drug in the world. consumed by 30% of American adults every day. I Caffeine may be grad students' best friend. Research shows that it confers several mental health benefits. I However. there are downsides for people who consume too much caffeine. l'v'lany major organ systems are adversely affected by high amounts of caffeine consumption. including the heart, stomach. respiratory, and reproductive organs Reason for Caffeine use among College Students Table 3. Distribution of variables regarding perceptions of students Reason(s) for caffeine use Total N (%) about caffeine consumption Variables Frequency Percentage Caffeine consumption increases academic performance To feel more awake and alert 872 (78.5) Yes 286 715 No 114 28.5 Enjoy the taste 752 (67.7) Caffeine consumption increases 10 38 22 NO 313 Social aspects 434 (39.1) Caffeine helps in overnight study Yes 187 46.7 No 213 53.3 To improve concentration 342 (30.8) Caffeine increases sell-confidence Yes 286 71.5 20.5 Increase physical energy 294 (26.5) Caffeine increases reading power Yes 147 36.7 202 (18.2) 253 63.3 To improve mood Caffeine increases recalling power Yes 310 71.5 Alleviate Stress 102 (9.2) No 22.5 Caffeine increases study hours Other Reason(s) 46 (4.1) Yes 180 45 No 220 Caffeine invigorate fatigue To help lose weight 34 (3.1) Yes 279 70.0 No Caffeine improves group work activity To improve creativity 28 (2.5) Yes 22 250 Regression Analysis 4.00 Variables Entered/Removed* ariables 3.50 Model Removed Method 1 Caffeine . Enter a. Dependent Variable: 4.0 scale G.P.A. G.P.A . All requested variables entered. 4.0 Model Summary Adjusted Model R R Square Square 1 .005 .000 -,019 33662 a. Predictors: (Constant), Caffeine 2.50 ANOVA Model squares Mean Square Sig. Regression .000 .000 .001 972 2.00 Residual 6.005 53 113 Total 6.006 500.0 1000.0 1500.0 2000.0 2500.0 3000.0 . Dependent Variable: 4.0 scale G.P.A Weekly Caffeine Consumption b. Predictors: (Constant), Caffeine Coefficients Unstandardized Coefficients coefficients Model Stad. Error Sig. (Constant 3.620 .070 51.831 <.001 caffeine .000 .035 .972 . dependent variable: scale g.p.a>