Question

This question needs to be solved in R:

Run the following code to generate a data frame called `ucb`.
```{r,eval=TRUE}
rm(list=ls())
gender = rep(c("female","male"),c(1835,2691))
admitted = rep(c("yes","no","yes","no"),c(557,1278,1198,1493))
dept = rep(c("A","B","C","D","E","F","A","B","C","D","E","F"),
c(89,17,202,131,94,24,19,8,391,244,299,317))
dept2 = rep(c("A","B","C","D","E","F","A","B","C","D","E","F"),
c(512,353,120,138,53,22,313,207,205,279,138,351))
department = c(dept,dept2)
ucb = data.frame(gender,admitted,department)
rm(gender,admitted,dept,dept2,department)
ls()
```

a) Does there seem to be a relationship between department and gender? Draw your conclusion
based on two approaches: (1) use an appropriate plot, and (2) a parametric test. For the parametric test, **write down the hypotheses and the assumption(s)**. Use a 5% significance level.

b)Use a non-parametric method to test whether there is an association between `gender` and `admitted`. State the hypotheses, give the p-value and observed odds-ratio.

Answer 1

answer :

d ;
0 1.4 1.8 돋 . gender 9 oog admitted bo OOO 一寸 department 0 1.4 1.8

.0 1.4 1.8 돋 . gender 9 oog admitted bo OOO 一寸 department 0 1.4 1.8

Hypothesis : There is no relationship between department and gender values or B1=0

thanks,