Question

use r code please

In two wards for elderly patients in a local hospital the following levels of hemoglobin (grams per liter) were found for a simple random sample of patients from each ward: Ward A vard_a < c(12.2, 11.1, 14.0, 11.3, 10.8, 12.5, 12.2, 11.9, 13.6, 12.7, 13.4, 13.7) Ward B: ward b c(11.9, 10.7, 12.3, 13.9, 11.1, 11.2, 13.3, 11.4, 12.0, 11.1) 2.a) [2 points] Make two box plots to compare the hemoglobin values for Ward A and Ward B. Overlay the boxplots with their raw data. Notice the similarities/differences portrayed by the plots, keeping in mind that the sample size is relatively small for these two wards hemoglobin <- data.frame (hemo_level-c(ard a, vard b) ard c(rep("Ward A", 12), rep("Ward B", 10))) # Your code here. 2.b) [2 points] What two assumptions do you need to make to use any of the t-procedures? Because each ward has a rather small sample size (n < 12 for both), what two characteristics of the data would you need to check for to ensure that the t procedures can be applied? Assumtion 1: Assumption 2:

Answer 1

2A)

ward_a <- c(12.2, 11.1, 14.0, 11.3, 10.8, 12.5, 12.2, 11.9, 13.6, 12.7, 13.4, 13.7)          
ward_b <- c(11.9, 10.7, 12.3, 13.9, 11.1, 11.2, 13.3, 11.4, 12.0, 11.1)
hemoglobin <- data.frame(hemo_level = c(ward_a, ward_b), ward = c(rep("Ward A", 12), rep("Ward B", 10)))
boxplot(hemo_level~ward , data =hemoglobin )

寸 Ward A Ward B

YOU CAN also use

ggplot(hemoglobin, aes(y = hemo_level, x= ward)) + geom_boxplot(aes(col = ward)) + theme_minimal(base_size = 15) + geom_point()

14 13 а» ward а» Ward A Ward B а» 12 Ward A Ward B ward

2B)

Assumtion 1: The observations are independent of one another.
Assumption 2: The data should be approximately normally distributed.

Please rate