Question

Write it as Rstudio code

Write the code to generate one sample of size n=1 from a standard normal distribution. If the value is between -1.96 and 1.96, print the valu e. Otherwise, print It could be potential outlier.

Answer 1

RStudio Code:

# We can use the function rnorm(no_of_samle , mean , st) to get value value from normal distribution
# since we need one sample , no_of_sample will be 1 and it is standard normal distribution , so
# mean = 0 , standard deviation = 1
num_of_sample = 1
mean_sample = 0
standard_deviation = 1
value = rnorm(1 , mean = mean_sample , sd = standard_deviation)

# Verifying the condition
if(value <= 1.96 && value >= -1.96){
print(value)
} else{
print("It could be potential outlier")
}

1 2 3 4 5 6 7 # We can use the function rnorm(no_of_samle, mean, st) to get value value from normal distribution # since we need one sample , no_of_sample will be 1 and it is standard normal distribution, so # mean = 0, standard deviation = 11 num_of_sample = 1 mean_sample=0 standard deviation = 1 value = rnorm(1 , mean = mean_sample , sd = standard_deviation) 8 9 10 # Verifying the condition 11 - if(value <= 1.96 && value >= -1.96) { 12 print(value) 13 - } else { 14 print("It could be potential outlier") 15

I have run the output many times to see the result.

OUTPUT:

> source/Desktop/S.R) [1] 0.2861043 > source '-/Desktop/s.R') [1] 0.1791172 > source('/Desktop/s.R') [1] -1.10725 > source('-/Desktop/s.R') [1] -1.549913 > source('-/Desktop/s.R') [1] -0.6180574 > source('/Desktop/s.R') [1] "It could be potential outlier" > source('/Desktop/s.R') [1] -0.04406114 > source('/Desktop/s.R') [1] "It could be potential outlier" source('/Desktop/s.R') [1] -1.027973