Description
The data set to be analyzed in this project is given in the csv file named
”suicides1970.csv” on UNT canvas. It contains the distribution of suicides
in the United States by month in 1970.
You have been asked to provide
a statistical analysis of the data and write a brief report on your findings
and conclusions. Use the significance level α = 0.05 for all the tests to
be conducted.
Your analysis and report should include at least the
following parts:
1. Provide the ecdf and box plots of the number of suicides.
2. Model the number of suicides in each month as a multinomial
random variable with the appropriate probabilities and conduct a
goodness-of-fit statistical test to see if the data is consistent with
the hypothesis that the suicide rate is constant.
3. Group the data into four seasons: Winter (December, January, February); Spring (March, April, May); Summer (June, July,
August); Autumn (September, October, November). Conduct an
appropriate goodness-of-fit test to see if there is any evidence that
the suicide rate varies seasonally.
4. Your written report should be typed not to exceed six pages.
You may work on this project by yourself or in a group of not
exceeding 3 people. Please hand in one report for the group signed
by all members. Each group member will receive the same grade
and will be assumed to have participated fully in the project.