# load data
#install.packages("dplyr")
install.packages("nycflights13", repos='http://cran.us.r-project.org')
library(nycflights13)
fl_data<-flightsYou should phrase your research question in a way that matches up with the scope of inference your dataset allows for.
Either the “origin location” of a given flight route or the “destination location” of a given flight route has a significant effect on the “delay in arrival time” that is observed upon a flight’s arrival to its designated destination
What are the cases, and how many are there?
336776 flight details are the cases
Describe the method of data collection.
Airline on-time data for all flights departing NYC in 2013. Also includes useful ‘metadata’ on airlines, airports, weather, and planes.
https://cran.r-project.org/web/packages/nycflights13/nycflights13.pdf
https://github.com/hadley/nycflights13/blob/master/data/flights.rda?raw=true
What type of study is this (observational/experiment)?
Observational
If you collected the data, state self-collected. If not, provide a citation/link.
Airline on-time data for all flights departing NYC in 2013. Also includes useful ‘metadata’ on airlines, airports, weather, and planes.
https://cran.r-project.org/web/packages/nycflights13/nycflights13.pdf
https://github.com/hadley/nycflights13/blob/master/data/flights.rda?raw=true
What is the response variable, and what type is it (numerical/categorical)?
categorical
What is the explanatory variable, and what type is it (numerical/categorival)?
categorical
Provide summary statistics relevant to your research question. For example, if you’re comparing means across groups provide means, SDs, sample sizes of each group. This step requires the use of R, hence a code chunk is provided below. Insert more code chunks as needed.