Math Studies

Criteria A: Introduction

I am researching to find out if a person’s sleeping habits can really be directly in effect with the weight of that person. I plan to find out whether the stress caused by lack of sleep can attribute to a person’s malnutrition or oversleeping can result in a person being overweight, or vice versa. In order to test this theory I will get data needed by surveying various people (but taking in account and depending on age, gender) asking for the amount of hours the get to sleep (the time they think they went to bed on to the time they woke up), and then asking for their weight. Continuing to ask the same question for over a period of time to see if there is some kind of pattern. As well as being aware of the original weight of the person, but mainly paying attention to change in the person’s weight due to that person’s lifestyle. Even though I might be some people have different metabolisms from other which may affect the resulting outcome.

To put it plain and simple I just used the survey, equated, separated into two different data tables falling under on the age and gender to see if there is any significant difference. Also using being displayed in data charts and a variation of graphs. The data I recorded was from 15 various and anonymous people that I have chosen to be represented in the data to be displayed. The data was recorded over a six-week period, where the participant recorded the time they went to bed (recorded daily which was then averaged into a biweekly estimate), and the weight was recorded weekly as well. And I gave a sheet paper that contained certain information that when the participant gave me the sheet with the information I verbal ask them about if they changed anything to see if the data can verify on the sheet of paper.

The following is the exact copy survey given to the participants in my math studies project:

Does the Amount of Sleep Affect a Person’s Weight?

Survey

Male or Female?

Age:

What is your current weight approximately? (Circle One)

A. Below 100

B. 100 вЂ" 155

C. 155 вЂ" 200

D. 200 -255

E. 255 вЂ" 300

F. Over 300

What time do you normally go to sleep approximately?

A. 7p.m. вЂ" 8p.m.

B. 9p.m. вЂ" 10p.m.

C. 11p.m. вЂ" 12a.m.

D. 1a.m. вЂ" 2a.m.

E. 3a.m. and later

The following is an exact copy of what the participants had to fill out on daily/weekly basis so that the data can be recorded:

Does the Amount of Sleep Affect a Person’s Weight?

Daily/Biweekly Data Sheet

Time Went Sleep: (Place letter next the day)

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

a. 7p.m. вЂ" 8p.m.

b. 9p.m. вЂ" 10p.m.

c. 11p.m. вЂ" 12a.m.

d. 1a.m. вЂ" 2a.m.

e. 3a.m. and later

Weight Biweekly Gained or Lost

a. + 1 to + 5

b. +6 to +10

c. -1 to -5

d. -6 to -10

e. 0

Criteria B: Information/Measurement

WEEKS 1-2

# Of participants Gender Age

(Yrs.) Average time went to sleep

(Approx.) Time went to sleep on survey Weight (Originally)

Lbs. Weight Gained

Lbs.

1. M 15 10pm 11-12 155-200 0

2. F 13 10pm 11-12 100-155 +2

3. M 20 2am 3/later 155-200 +5

4. F 12 9pm 7-8 100-155 +1

5. F 7 8pm 9-10 Below 100 +3

6. F 9 10pm 9-10 100-155 +2

7. M 35 10pm 11-12 155-200 0

8. F 40 12am 1-2 200-255 0

9. M 32 7pm 7-8 155-200 0

10. M 14 11pm 9-10 100-155 0

11. M 12 12am 1-2 100-155 +2

12. M 13 8pm 7-8 155-200 0

13. M 13 9pm 9-10 155-200 +1

14. F 9 9pm 9-10 100-155 +3

15. F 10 9pm 9-10 100-155 0

16. M 8 12am 11-12 Below 100 0

17. F 16 9pm 7-8 100-155 -2

18. F 18 11pm 11-12 100-155 +3

19. M 19 10pm 9-10 155-200 0

20. F 21 1am 1-2 200-255 +2

21. M 12 8pm 9-10 155-200 0

22. F 13 9pm 9-10 100-155 0

23. M 15 11pm 11-12 100-155 +3

24. F 45 1am 1-2 200-255 -2

25. F 43 2am 3/later 155-200 +3

26. F 34 11pm 11-12 200-255 -1

27. F 6 8pm 7-8 100-155 0