Quiz3
Griffin Lappin
10/23/2019
- 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.
- Q3 Does smoking seem to matter in determining Alzheimer? Discuss your reason using the masaic chart above.
- Q4 Create correlation plot for
RailTrail. - Q5 What variables have positve correlation with the number of trail users (volume)?
- Q6 What season seems to be most popular for trail users?
- Q7 The correlation coefficient between
hightempandcloudcoveris 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? - 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”.
Q1 Describe the largest group that has Alzheimer. Discuss it by number of cigarettes per day.
The largest group that has Alzheimers is the none smoking class.
Q2 Describe one group that has more cases than expected given independence (by chance). Discuss it by number of cigarettes per day.
The group with more cases than any other would be the other dementias >20 cigarettes per day.
Q3 Does smoking seem to matter in determining Alzheimer? Discuss your reason using the masaic chart above.
People that dont smoke are more likely to have Alzheimer Than people who smoke.Which seems that smoking may not effect people that have Alzheimers.
Q4 Create correlation plot for RailTrail.
Hint: The RailTrail data set is from the mosaicData package.
Q5 What variables have positve correlation with the number of trail users (volume)?
The variables that have a postive correlation would be the hightemp and volume grouping
Q6 What season seems to be most popular for trail users?
The season to be the most popular would be in the summer time most likely avgtemp
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.