Environment for creative processing of text and numerical data

Comparing the means of two samples with t test

Beginning status (before activation):

   1 *
   2 *The statistics computed from two independent samples from normal
   3 *distribution are:
   4 *Sample size  Mean           Standard deviation
   5 *N1=10        M1=9.400000    S1=1.955050
   6 *N2=15        M2=10.86667    S2=1.684665
   7 *
   8 *If the samples are from the same normal distribution, the statistic
   9 *t=(M1-M2)/S/sqrt(1/N1+1/N2)
  10 *where S=sqrt(((N1-1)*S1^2+(N2-1)*S2^2)/(N1+N2-2))
  11 *has a t distribution with df=N1+N2-2 degrees of freedom.
  12 *
  13 *Testing hypothesis H0: my1=my2 against hypothesis H1: my1<my2:
  14 *t.=  
  15 *t.F(df,t).=
  16 *

Ending status (after activation):

   1 *
   2 *The statistics computed from two independent samples from normal
   3 *distribution are:
   4 *Sample size  Mean           Standard deviation
   5 *N1=10        M1=9.400000    S1=1.955050
   6 *N2=15        M2=10.86667    S2=1.684665
   7 *
   8 *If the samples are from the same normal distribution, the statistic
   9 *t=(M1-M2)/S/sqrt(1/N1+1/N2)
  10 *where S=sqrt(((N1-1)*S1^2+(N2-1)*S2^2)/(N1+N2-2))
  11 *has a t distribution with df=N1+N2-2 degrees of freedom.
  12 *
  13 *Testing hypothesis H0: my1=my2 against hypothesis H1: my1<my2:
  14 *t.=-2.001083427897
  15 *t.F(df,t).=0.02865990939909
  16 *

 Previous | Next