class Statsample::Test::T::OneSample

One Sample t-test

Usage¶ ↑

a=1000.times.map {rand(100)}.to_scale
t_1=Statsample::Test::T::OneSample.new(a, {:u=>50})
t_1.summary

Output¶ ↑

= One Sample T Test
Sample mean: 48.954
Population mean:50
Tails: both
t = -1.1573, p=0.2474, d.f=999

One Sample t-test

Usage¶ ↑

a=1000.times.map {rand(100)}.to_scale
t_1=Statsample::Test::T::OneSample.new(a, {:u=>50})
t_1.summary

Output¶ ↑

= One Sample T Test
Sample mean: 48.954
Population mean:50
Tails: both
t = -1.1573, p=0.2474, d.f=999

Attributes

df[R]

Degress of freedom

name[RW]

Name of test

opts[RW]

Options

tails[RW]

Tails for probability (:both, :left or :right)

u[RW]

Population mean to contrast

Public Class Methods

new(vector, opts=Hash.new) click to toggle source

Create a One Sample T Test Options:

:u = Mean to compare. Default= 0
:name = Name of the analysis
:tails = Tail for probability. Could be :both, :left, :right

# File lib/statsample/test/t.rb, line 160
def initialize(vector, opts=Hash.new)
  @vector=vector
  default={:u=>0, :name=>"One Sample T Test", :tails=>:both}
  @opts=default.merge(opts)
  @name=@opts[:name]
  @u=@opts[:u]
  @tails=@opts[:tails]
  @confidence_level=@opts[:confidence_level] || 0.95
  @df= @vector.n_valid-1
  @t=nil
end

Public Instance Methods

ci(cl=nil)

Alias for: confidence_interval

confidence_interval(cl=nil) click to toggle source

# File lib/statsample/test/t.rb, line 184
def confidence_interval(cl=nil)
  t_object.confidence_interval(cl)
end

Also aliased as: ci, ci

probability() click to toggle source

# File lib/statsample/test/t.rb, line 177
def probability
  t_object.probability
end

se()

Alias for: standard_error

standard_error() click to toggle source

# File lib/statsample/test/t.rb, line 180
def standard_error
  t_object.standard_error
end

Also aliased as: se, se

t() click to toggle source

# File lib/statsample/test/t.rb, line 174
def t
  t_object.t
end

t_object() click to toggle source

# File lib/statsample/test/t.rb, line 171
def t_object
  T.new(@vector.mean-u, @vector.se, @vector.n_valid-1, opts)
end