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.

