Part One: As a group (working in those groups of one or two you are used to).
make a dashboard of your survey data
a dashboard is a single piece of paper that will contain ALL of the information you have gathered. For each piece of information, it should have a graph and a one sentence explanation of what information should be obvious from that data. This is what statisticians are often asked to make--YOU do all the hard work with the numbers and THEY ask you to make it simple and obvious what should be done.
on this piece of work, and only on this piece of work, YOU MAY OMIT THE R WORK YOU HAVE DONE AND JUST PROVIDE THE GRAPHS.
here's a little code to help you. see what it does to help you on your way!!!!!!!!!!!!1!:
scores.q.1=c(1,2,2,2,3,2,3,2,3,4,5,4,5,6,4,3,2,3,4,5,3)
barplot(table(scores.q.1),xlab="least happy -------------- most happy")
here's some even better code:
graph1=matrix(c(0,4,5,3,8),byrow=TRUE,ncol=5)
dimnames(graph1)=list("Number of students",c("happy","sad","okay","not okay","the best")
barplot(graph1)
write a brief paragraph
the paragraph should make comments about the class that you have gleaned from your survey. You may make observations about the information, extrapolate about what changes need to be made in the class, or even make recommendations for changes in the class--as long as you back it up with your data. this may overlap with the answers you provided previously.
if you were to write this survey again, what would it look like?
create the 7 questions you would ask if you had to do it again. Explain any changes. YOU SHOULD MAKE SOME CHANGES--there are things in each survey I saw that could be better.
take all the r command work you have done and e-mail it to me if you haven't already.
Part Two: On your own.
These questions come from the book. they should be done on your own, with R when needed, and showing all your work. You should not need to consult me, or anyone else. You got this.
p. 67. q. 21. Make sure to do our normal summary, and then give a few sentences describing the acidity of the rain samples.
p. 125. q. 23. You may skip question a.
p. 166. q. 33.
Plot the data in r.
Find the line of best fit.
Is there a linear relationship? Explain how strong of a relationship it is and how you know.
If a roller coaster has a drop of 156 ft, how long does the regression model expect the ride to be?
There is a point (195, 120). What is the residual of this point?
If you can answer these three questions using our three C model (clear, concise, correct) and feel great about it, you are in an awesome place in this class. If not, we have some talkin' to do.