For the Project Part 2 on Descriptive Statistics

For the Project Part 2 on Descriptive Statistics

Find your name in this list, and you will see the two variables that YOU should analyze.

Technology Suggestion: When you get the spreadsheet with all the data in it, save it.

And then save another copy of it– and in that one delete the columns that do not concern you – so then you can simply focus on the columns for your variables. But you’ll have the original data saved in case you need to go back to it.

Note: Some of the data may not be in the correct format! You’ll have to “fix” it or if that is not possible then do not use it – make a reasonable decision.

Student / Categorical variable / Numerical Variable
Abraham,Ann / 5. Restaurant cuisine / 8. Meals out in week
Archer,Beth / 2. Grow Food / 11. # times cook in week
Belcher,Jack / 3. Sugar & hyperactivity / 9. # drinks Coffee
Boyes,Tabatha / 4. Movie type / 12. # times Exercise in week
Bui,Nhi K / 5. Restaurant cuisine / 9. # drinks Coffee
Casto,Polly / 1. Gender / 7. # Computers
colocho,maria / 1. Gender / 9. # drinks Coffee
Davis,Jasmin / 4. Movie type / 10. # drinks Tea
Deng,Yuxin / 3. Sugar & hyperactivity / 11. # times cook in week
Dillon,Colin / 4. Movie type / 12. # times Exercise in week
Eastman,Miranda / 5. Restaurant cuisine / 8. Meals out in week
Ehlig,Nathaniel / 3. Sugar & hyperactivity / 9. # drinks Coffee
Flores,Ashly / 2. Grow Food / 6. Age
Foster,Matthew / 3. Sugar & hyperactivity / 11. # times cook in week
Gilkey,Calvin / 5. Restaurant cuisine / 8. Meals out in week
Graham,Rose / 2. Grow Food / 6. Age
Gust,Christine / 2. Grow Food / 12. # times Exercise in week
Haigh,Lucas / 4. Movie type / 9. # drinks Coffee
Hansen,Amanda / 4. Movie type / 10. # drinks Tea
Hassan,Avan / 1. Gender / 8. Meals out in week
Jamolod,Irina / 5. Restaurant cuisine / 7. # Computers
jang,han / 1. Gender / 10. # drinks Tea
Kaainoa,Kaeli / 2. Grow Food / 9. # drinks Coffee
Kaur,Rajwinder / 3. Sugar & hyperactivity / 12. # times Exercise in week
Lamontagne,Adam / 4. Movie type / 8. Meals out in week
Martin,David / 5. Restaurant cuisine / 11. # times cook in week
martinez,karlo / 1. Gender / 9. # drinks Coffee
McMullen,Cody / 1. Gender / 12. # times Exercise in week
Miller,Jessica / 4. Movie type / 9. # drinks Coffee
Miller,Steven / 3. Sugar & hyperactivity / 7. # Computers
Mountford,Shayleigh / 4. Movie type / 9. # drinks Coffee
Ngo,Tommy / 5. Restaurant cuisine / 10. # drinks Tea
Nguyen,Hoa / 3. Sugar & hyperactivity / 11. # times cook in week
Nguyen ,Nam / 2. Grow Food / 12. # times Exercise in week
Norris,Amber / 3. Sugar & hyperactivity / 8. Meals out in week
OBrien,Lisa / 5. Restaurant cuisine / 9. # drinks Coffee
Pearson,Rocco / 2. Grow Food / 6. Age
puett,terri / 2. Grow Food / 11. # times cook in week
Saunders,Joshua / 5. Restaurant cuisine / 8. Meals out in week
Schliesman,Josiah / 2. Grow Food / 6. Age
Steel,Kathy / 3. Sugar & hyperactivity / 12. # times Exercise in week
Steenbeeke,Lauren / 4. Movie type / 9. # drinks Coffee
Sturtz,Emma / 5. Restaurant cuisine / 10. # drinks Tea
Swinney,Lauren / 1. Gender / 8. Meals out in week
Thulin,Amy / 1. Gender / 7. # Computers
Truong,Angelina / 3. Sugar & hyperactivity / 10. # drinks Tea
Varela,Gustavo / 4. Movie type / 9. # drinks Coffee
Wang,Ning / 5. Restaurant cuisine / 11. # times cook in week
Williams,Kelsey / 3. Sugar & hyperactivity / 12. # times Exercise in week
Wilshaw,Lindsay / 2. Grow Food / 8. Meals out in week
Zhang,Ziqi / 3. Sugar & hyperactivity / 9. # drinks Coffee