MeanDifferenceTest

MeanDifferenceTest[list1,list2,Δμ0]
performs a test with null hypothesis .

更多信息更多信息

  • To use MeanDifferenceTest, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
  • MeanDifferenceTest[list1,list2, Δμ0] gives a value for the test that the difference between the means and of the populations from which and were sampled is significantly different from .
  • MeanDifferenceTest is based on a normal distribution if the population variances are assumed known.
  • If the variances for the two populations are assumed equal and unknown, the test is based on Student's distribution with Length[list1]+Length[list2]-2 degrees of freedom.
  • If the population variances are not assumed known and not assumed equal, Welch's approximation for the degrees of freedom is used.
  • The following options can be given:
  • EqualVariancesFalsewhether the unknown population variances are assumed equal
    FullReportFalsewhether to include detailed information about a test
    KnownVarianceNonevariance of population
    SignificanceLevelNonesignificance level of the test
    TwoSidedFalsewhether to perform a two-sided test

范例范例打开所有单元关闭所有单元

基本范例  (1)基本范例  (1)

In[1]:=
Click for copyable input

A test of the difference of population means against 0:

In[2]:=
Click for copyable input
Out[2]=
Translate this page: