Confidence Interval

units
abc
abc
abc
vector
logic
function
standard

abc

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

shift

greek

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

shift

greek

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

{......

[

]

∞

{}

det

(m×n)

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

∧

⊥

∀

⊢

∅

∪

⊂

∨

⊤

∃

≠

⊨

∈

∩

⊆

∄

→

□

⊕

≥

∖

∉

⇒

⊬

⊃

↔

◇

⧆

≤

⊭

≡

{}

⇔

⊇

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

[

]

cos

lim

∞

[

)

≥

tan

(

]

≤

arc

{......

(

)

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

∧

cos

∨

≥

tan

all

≤

none

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

°C

mol

bar

units

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

∧

cos

∨

≥

tan

all

≤

none

↵

(

)

↑

←

↓

→

The municipality of Amsterdam wants to estimate the average water retention capacity of the green roofs, by taking a simple random sample of size #30# from the population. Simulate what happens in this case by taking a simple random sample from the variable capaciteit in the dataset V (groene daken). Use the seed: #28# by applying the command set.seed(28) before running the sample() command.

What is the average of your sample?

#\bar{X} = #

#mm#

6. Parameter Estimation and Confidence Intervals: Practical 6

Confidence Interval