Meredith Bishop Stats 251 Sleep Deficit

Sleep Deficit The cumulative effect of not getting enough sleep Health, productivity, and happiness all suffer Significantly higher stress High blood pressure, heart problems, psychiatric problems, obesity, hypertension, and increased mortality Promotes brain plasticity and proper brain function: memory formation, processing, and alertness

Method 199 participants surveyed online on Mechanical Turk Sleep Deficit Scale (from the Free Press) Waking habits, feelings of alertness, caffeine use Gender and age also recorded Two Sample T-tests comparing males/females and age groups Linear Regression

What is YOUR Sleep Deficit Number? Mine is 12! What is YOUR Sleep Deficit Number?

Sleep Deficit Scale Interpretation 4 or less Adequate sleep  5 or 6  Most days adequate sleep. Some days a person's sleep account may be a bit short and this may mean that performance is less than 100 percent on certain activities.  7 or 8  Evidence of a sleep debt that may cause noticeable reduction in work and efficiency.   9 to 11  Definitely a large sleep debt. The person's work is likely to suffer from large, random errors; even small errors may be missed when the work is reviewed a second time.

Continued Sleep Deficit Scale Interpretation  12 to 14   In addition to experiencing the same symptoms as those with scores of 9 to 11, the person's general quality of life suffers. Perhaps a person is less interested in things formerly found to be fascinating and is less inclined to spend time socializing. The person may also be a bit accident-prone and subject to temporary memory defects such as momentarily forgetting his or her address or phone number. 15 and above  Sleep debt is a major problem. Levels of sleepiness are in the range often found in people with clinical levels of sleep disturbance-for example, those with sleep apnea or severe insomnia. The person should increase the amount of sleep he or she gets and should seek professional help if this does not bring scores back below 7 .

Two Sample T-Test Comparing Males and Females P-value = 0.233916

Conclusions of T-Test Comparing Males and Females P-value= 0.233916 0.233916 > 0.05 significance level Can not reject the hull hypothesis (M1=M2) There is not a statistically significant difference between sleep deficit means of males and females

Two Sample T-Test Comparing Age Groups P-value = 0.06

Conclusions of T-Test Comparing Ages P-value = 0.060600 0.060600 > 0.05 significance level Can not reject the null hypothesis (M1=M2) There is not a statistically significant difference between sleep deficit means between age groups

Linear Regression of Sleep Deficit vs. Age Sleep Deficit Number = 9.40 - 0.0432 Age