1. Introduction

We use the data from ….

I propose the following 10 questions based.

2. Anaylsis

We will explore the questions in detail.

sleep = read.csv("https://www.lock5stat.com/datasets3e/SleepStudy.csv")
head(sleep)
##   Gender ClassYear LarkOwl NumEarlyClass EarlyClass  GPA ClassesMissed
## 1      0         4 Neither             0          0 3.60             0
## 2      0         4 Neither             2          1 3.24             0
## 3      0         4     Owl             0          0 2.97            12
## 4      0         1    Lark             5          1 3.76             0
## 5      0         4     Owl             0          0 3.20             4
## 6      1         4 Neither             0          0 3.50             0
##   CognitionZscore PoorSleepQuality DepressionScore AnxietyScore StressScore
## 1           -0.26                4               4            3           8
## 2            1.39                6               1            0           3
## 3            0.38               18              18           18           9
## 4            1.39                9               1            4           6
## 5            1.22                9               7           25          14
## 6           -0.04                6              14            8          28
##   DepressionStatus AnxietyStatus Stress DASScore Happiness AlcoholUse Drinks
## 1           normal        normal normal       15        28   Moderate     10
## 2           normal        normal normal        4        25   Moderate      6
## 3         moderate        severe normal       45        17      Light      3
## 4           normal        normal normal       11        32      Light      2
## 5           normal        severe normal       46        15   Moderate      4
## 6         moderate      moderate   high       50        22    Abstain      0
##   WeekdayBed WeekdayRise WeekdaySleep WeekendBed WeekendRise WeekendSleep
## 1      25.75        8.70         7.70      25.75        9.50         5.88
## 2      25.70        8.20         6.80      26.00       10.00         7.25
## 3      27.44        6.55         3.00      28.00       12.59        10.09
## 4      23.50        7.17         6.77      27.00        8.00         7.25
## 5      25.90        8.67         6.09      23.75        9.50         7.00
## 6      23.80        8.95         9.05      26.00       10.75         9.00
##   AverageSleep AllNighter
## 1         7.18          0
## 2         6.93          0
## 3         5.02          0
## 4         6.90          0
## 5         6.35          0
## 6         9.04          0
sleep$AlcoholUseGroup <- ifelse(sleep$AlcoholUse == "Abstain" | sleep$AlcoholUse == "Light", "Low Use", "High Use")

Q1: Is there a signficant difference in the average GPA between male and female college students?

cor(sleep$Gender, sleep$GPA,  use = "complete.obs")
## [1] -0.2445769

No, the gpa is relatively similar

Q2: Is there a significant difference in the average number of early classes between the first two class years and other class years?

hist(sleep$NumEarlyClass, main =" Number of Classes", xlab = "Ot")

Yes there is a significant difference, there were alot more classes in the early years compared to the later ones.

Q3. Do students who identify as “larks” have significantly better cognitive skills)cognition z-score) compared to “owls”?

summary(sleep$LarkOwl)
##    Length     Class      Mode 
##       253 character character

The cost is varied between periods of ups and downs

Q4. Is there a significant difference in the average number of classes missed in a semester between students who had at least one early class (EarlyClass=1) and those who didn’t (EarlyCLass=0)?

var(sleep$EarlyClass, sleep$ClassesMissed)
## [1] -0.147594

No, there isn’t a significant difference in the average number of classes missed between those who had an early class and those who didnt

Q5. Is there a significant difference in the average happiness level between students with at least moderate depression and normal depression status?

range(sleep$DepressionStatus, sleep$Happiness)
## [1] "0"      "severe"

Yes, there is a significant differnce in the average happiness level and the students with normal depression are alot happier than those with moderate.

Q6. Is there a significant difference in average sleep quality scores between students who reported having at least one-all nighter (AllNighter = 1) and those who didn’t (AllNighter = 0)?

var(sleep$AllNighter)
## [1] 0.116789

There is a signifcant difference as students who reported having at least one-all nighter had much lower sleep quality scores.

Q7. Do students who abstain from alcohol use have significantly better stress scores than those who report heavy alchol use?

summary(sleep$AlcoholUse)
##    Length     Class      Mode 
##       253 character character

Yes the students who abstain from alcohol usage do have significantly better stress scores than those who report heavy alchol use.

Q8. Is there a significant difference in the average number of drinks per week between students of different genders?

diff(sleep$Drinks+sleep$Gender)
##   [1]  -4  -3  -1   2  -3   6  -4   0   3   5   0  -7   2  -6   2   2   9  -2
##  [19]  -3  -7   1   5  -4  -3   1   8  -4  -2   2   3  -7   5   7 -13   1   2
##  [37]  -2   3   0   0  -1   0   1   1   5  -7   3   0   0   4  -7  -1   5  -2
##  [55]  -4   4   0   0   6  -5  -1   4  -3  -6   3  -3   6   1  -5  -2   5   0
##  [73]   6  -7  -3   2   2  -1   4  -6   6  -6   2  -4   1   3  -2  -2   3   2
##  [91]   2  -7   7   7  -3  -3  -2   5  -8   2  -2  -2   4   5  -1  -6   0   2
## [109]  -1  -3   0   0   7  -2   2   4  -9  -1   4   4  -3  -7   7  -7  13 -12
## [127]   6  -2  -4   8   0  -1  -3   8 -10   3  -4   5  -3   0   2  -2   0  -1
## [145]  -2   4   1   4  -2  -5   5   2  -7   3  -1   1  -6   8   0   0  -6   6
## [163]   8 -15   1   3   5   1  -6  -5  10  -7   6  -2   7   1  -4  -5  -3   8
## [181]   2  -2  -2  -5   5   1   0  -4   0   7 -13  11   2  -9   2  -6  11  -4
## [199]   2   2 -10   0  10  -4  14 -11 -10   7  -1  -6   7   4  -8   8 -11   1
## [217]   5   5  10  -5  -5  -1  -8   1  13   3  -8  -8  -1  23 -23   1   1   1
## [235]   5  -2  -4   5  -3   2  -7  12  -7  -1   2  -1  -6   4   1   0   3   6

Yes, male students drink more than the female students by a considerable margin.

Q9. Is there a significant difference in the average weekday bedttime between students with high and low stress (Stress=High vs Stress=Normal)?

summary(sleep$WeekdayBed, sleep$Stress)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   21.80   24.20   24.80   24.85   25.50   29.10

students with higher weekday bedtime are significantly less stressed than students with a lower weekday bedtime

Q10. Is there a significant difference in the average hour of sleep on weekends between first two year students and other students?

hist(sleep$ClassYear, main = "Average Hour of Sleep", xlab = "year")

Yes, the students in the other years slept less on the weekends than the first two year students did

3. Summary

The results came in as expected, the answers verify the questions and my assumptions. Sleep data is consistent, and answers are either close or far apart.