4. The data set DDT (MASS) contains independent measurements of the pesticide DDT on kale. Make a histogram and a boxplot of the
data. From these, estimate the mean and standard deviation. Check your answers with the appropriate functions.
1 answer:
Answer:
Step-by-step explanation:
Rcode:
library(MASS)
data(DDT,package="MASS")
head(DDT)
colnames(DDT)
print(DDT)
boxplot(DDT)
hist(DDT,main="Histogram for DDT")
fivenum(DDT)
dim(DDT)
outlier_values <- boxplot.stats(DDT)$out # outlier values.
boxplot(DDT, main="DDT", boxwex=0.1)
mtext(paste("Outliers: ", paste(outlier_values, collapse=", ")), cex=0.6)
mean(DDT)
sd(DDT)
Output: * see attachment below*
From Histogram the mean is at the peak
it lies in between 3and 3.5
Form Boxplot we found one outlier and it is 4.64
Fivenum summary is
2.790 3.075 3.220 3.360 4.640
min=2.790
Q1=3.075
Q2=3.220
Q3=3.360
max=4.640
From boxplot the center line is median which cuts the box into 2 equal halves
Distribution is symmetrical
Follows normal distribution.
Mean=3.328
Standard deviation=0.4371531
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