How well do YOU sleep?

Does screen usage affect the your sleeping habits?

Do you wake up feeling drowsy and sluggish? Do you feel well rested at night? Are you on your phone/lap top/watching tv/ other technologies right before you go to sleep?

In this experiment, we will be testing whether or not decreasing screen time right before you go to bed will help you to wake up feeling well rested and refreshed.

We will be recording data over a period of 7 days on 3 subjects aging between 20 and 25 to see who is able to sleep the most hours at night.

- According to the National Sleep Foundation young adults need between 7.5-9 hours of sleep at night.

>This means each subject will be required different time periods set aside specifically for device use each night.


Subject 1 (Ava Blakely)

-30 of usage before she goes to sleep

Subject 2 (John Smith)

- 15 minutes of usage before he goes to sleep

Subject 3 (Mark Dixson)

-no time of usage before he goes to sleep

Data Recovered

Day 1-

> Subject 1 slept 7 hours.

> Subject 2 slept 7.5 hours.

> Subject 3 slept 8.5 hours.

Day 2-

> Subject 1 slept 6.5 hours.

> Subject 2 slept 7 hours.

>Subject 3 slept 9 hours.

Day 3-

> Subject 1 slept 7 hours.

> Subject 2 slept 7.5 hours.

>Subject 3 slept 9 hours.

Day 4-

> Subject 1 slept 6.7 hours.

> Subject 2 slept 7.2 hours.

> Subject 3 slept 8.7 hours.

Day 5-

> Subject 1 slept 7 hours.

> Subject 2 slept 7 hours.

> Subject 3 slept 8.5 hours.

Day 6-

> Subject 1 slept 6 hours

> Subject 2 slept 7.5 hours.

> Subject 3 slept 8 hours.

Day 7-


> Subject 1 slept 6.7 hours.

> Subject 2 slept 7.3 hours.

>Subject 3 slept 9 hours.

Hypothesis? Let's look at the results!

Looking at our data, Subject 3 slept a significant amount more than our other two subjects. This data does not include the factors of stress and poor eating habits which can also affect sleep, but looking at our data we can conclude that;

If you decrease your screen time at night then you will sleep more hours.

It is always good to test this experiment multiple times with different subjects, which is exactly what we did. Our results were conclusive which only further leads us to believe this hypothesis was accurate.

A Special Thanks to those who Participated in this study!

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