Use this data:

melanoma.csvDownload melanoma.csv

# You want to conduct a Chi Square Test of Independence for sex and status of melanoma. The Melanoma data frame has data on $205$ patients in Denmark with malignant melanoma. Melanoma is skin cancer caused by too much sunlight. Data are de$-$identified and publicly available.

# Data variables are:

# time: survival time in days, possibly censored.

# status: $1$ died from melanoma, $2$ alive, $3$ dead from other causes

# sex: $1=$ male, $0=$ female

# age: age in years

# year: of operation

# thickness: tumour thickness in mm

# ulcer: $1=$ presence, $0=$ absence$.$

# Source: P$.$ K$.$ Andersen, O$.$ Borgan, R$.$ D$.$ Gill and N$.$ Keiding $(1993)$ Statistical Models based on Counting Processes. Springer.

Directions:

# import the data

# display data information

# display head of data

# replace sex values $0$ and $1$ with female and male respectively

# replace statue $1=$ died from melanoma, $2=$ alive, $3=$ dead from other causes with their text labels

# display head of data

# create a cross table $($two way table$)$ of sex and status

# conduct the Chi Square Test of Independence for sex and status.

# print the p value from the Chi Square Test

# State the conclusion from the test