TU Wien:Statistik und Wahrscheinlichkeitstheorie UE (Bura)/Übungen 2020W/HW06.1
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CPU workload[Bearbeiten | Quelltext bearbeiten]
The CPU workloads (in %) of a processor were observed eight times and gave
25,13,7,9,44,3,2,33
Find all empirical (a) medians, (b) third quartiles and (c) 1/3-quantiles.
Lösungsvorschlag von Friday[Bearbeiten | Quelltext bearbeiten]
--Friday Sa 30 Jan 2021 17:06:04 CET
# Statistics and Probability HW #6
# Friday
# Duedate: 16.11.2020
# Problem 1 - CPU workload
# The CPU workloads (in %) of a processor were observed eight times and gave:
# 25,13,7,9,44,3,2,33
workloads <- c(25, 13, 7, 9, 44, 3, 2, 33)
boxplot(workloads, horizontal = TRUE, range = 0)
neares_values = function(list, target) {
c(max(workloads[workloads<=target]), min(workloads[workloads>=target]))
}
# Problem 1a)
# Find all empirical medians.
result_1a <- neares_values(workloads, median(workloads))
result_1a
# Problem 1b)
# Find all third quartiles.
result_1b <- neares_values(workloads, quantile(workloads, 3/4))
result_1b
# Problem 1c)
# Find all 1/3 quantiles.
result_1c <- neares_values(workloads, quantile(workloads, 1/3))
result_1c