Quiz3
Scott Jenkins
10/8/2019
- Q1 Describe the largest group that has Alzheimer. Discuss it by number of cigarettes per day.
- Q2 Describe one group that has more cases than expected given independence (by chance). Discuss it by number of cigarettes per day.
- Q5 What variables have positve correlation with the number of trail users (volume)?
- Q8 Hide the messages, the code and its results on the webpage.
- Q9 Display the title and your name correctly at the top of the webpage.
- Q10 Use the correct slug.
The data set is from a case-control study of smoking and Alzheimer’s disease. The data set has two variables of main interest:
smokinga factor with four levels “None”, “<10”, “10-20”, and “>20” (cigarettes per day)diseasea factor with three levels “Alzheimer”, “Other dementias”, and “Other diagnoses”.
## smoking None <10 10-20 >20
## disease
## Alzheimer 126 15 30 27
## Other dementias 79 8 33 44
## Other diagnoses 104 5 47 20
Q1 Describe the largest group that has Alzheimer. Discuss it by number of cigarettes per day.
The Alzheimer are mostly none smokers. there is a huge portion of them that smoke no cigarettes.
Q2 Describe one group that has more cases than expected given independence (by chance). Discuss it by number of cigarettes per day.
In other (dementias) that are over 20 smoke more then expected by chance. they smoke the most amout of cigarettes. ## Q3 Does smoking seem to matter in determining Alzheimer? Discuss your reason using the masaic chart above. it does not, More people the that have alzeimher dont smoke at all so that smoking doesnt seem to matter to people with alzeimhers. ## Q4 Create correlation plot for RailTrail. Hint: The RailTrail data set is from the mosaicData package.
## hightemp lowtemp avgtemp spring summer fall cloudcover precip
## hightemp 1.00 0.66 0.92 -0.33 0.67 -0.40 -0.10 0.13
## lowtemp 0.66 1.00 0.90 -0.39 0.74 -0.41 0.37 0.37
## avgtemp 0.92 0.90 1.00 -0.39 0.77 -0.44 0.14 0.27
## spring -0.33 -0.39 -0.39 1.00 -0.74 -0.47 -0.10 -0.25
## summer 0.67 0.74 0.77 -0.74 1.00 -0.24 0.17 0.34
## fall -0.40 -0.41 -0.44 -0.47 -0.24 1.00 -0.08 -0.09
## cloudcover -0.10 0.37 0.14 -0.10 0.17 -0.08 1.00 0.37
## precip 0.13 0.37 0.27 -0.25 0.34 -0.09 0.37 1.00
## volume 0.58 0.18 0.43 -0.04 0.23 -0.25 -0.37 -0.23
## volume
## hightemp 0.58
## lowtemp 0.18
## avgtemp 0.43
## spring -0.04
## summer 0.23
## fall -0.25
## cloudcover -0.37
## precip -0.23
## volume 1.00
Q5 What variables have positve correlation with the number of trail users (volume)?
High temp has a positive correlation average temp seems to have a positive correlation low temp are both both positive correlation ## Q6 What season seems to be most popular for trail users? summer ## Q7 The correlation coefficient between hightemp and cloudcover is quite small. Would you be sure that the two variables are not related at all? Create scatter plot. After examing the scatter plot, would you conclude that the two variables are not related at all? Hint: Discuss your reason by explaining your scatter plot.
Q8 Hide the messages, the code and its results on the webpage.
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.