Please perform a hypothesis test for each distribution I nee
Please perform a hypothesis test for each distribution. I need to find the distribution that best represents the data USING MATLAB. Show codes in full that work with hypothesis test results and how it is done.
Data:
| 20.391 | 
| 9.959 | 
| 13.102 | 
| 13.811 | 
| 15.746 | 
| 14.084 | 
| 8.735 | 
| 10.518 | 
| 9.766 | 
| 17.73 | 
| 6.934 | 
| 12.314 | 
| 11.213 | 
| 18.283 | 
| 11.628 | 
| 12.409 | 
| 9.69 | 
| 17.334 | 
| 11.3 | 
| 12.613 | 
| 9.268 | 
| 14.68 | 
| 11.446 | 
| 11.603 | 
| 9.694 | 
| 7.839 | 
| 10.238 | 
| 13.443 | 
| 10.238 | 
| 9.904 | 
| 17.004 | 
| 19.388 | 
| 28.957 | 
| 24.048 | 
| 10.754 | 
| 12.024 | 
| 13.709 | 
| 13.308 | 
| 10.238 | 
| 9.506 | 
| 22.093 | 
| 16.487 | 
| 8.837 | 
| 36.064 | 
| 14.292 | 
| 13.027 | 
| 12.255 | 
| 16.119 | 
| 17.025 | 
| 15.931 | 
| 14.808 | 
| 14.909 | 
| 13.701 | 
| 16.442 | 
| 12.255 | 
| 14.292 | 
| 10.961 | 
| 16.442 | 
| 17.331 | 
| 22.195 | 
| 17.331 | 
| 14.292 | 
Solution
First, copy the data and follow the following steps:
x <- read.csv(\"clipboard\",header=F)
install.packages(\"glogis\")
library(glogis)
plot(glogisfit(x$V1))
install.packages(\"ghyp\")
library(\"ghyp\")
hist(x$V1,freq=F,ylim=c(0,0.13))
lines(fit.NIGuv(x$V1))
Answer given from from R software.


