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I have two samples of $n=10$ with the following values

Sample 1:

  • Mean = $3$
  • $s_{d} = 0.4$

Sample 2:

  • Mean = $3.35$
  • $s_{d} = 0.3$

but the observations of both samples are unknown and I want to know the common $s_{d}$ to calculate $t_{0}$


Note: this is no homework is only an exercise from the tutorial, which has not been solved.

Ben Ishak
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1 Answers1

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i may suggest the following solution

$$ s_{d_{1}-d_{2}} = \sqrt{1/_n * (s_{d1}^2 + s_d{2}^2)} = \sqrt{1/_{10} * (0.4^2 + 0.3^2)} = 0.158 $$

$$ t = d_{1} - d_{2} / s_{d_{1}-d_{2}} = -0.35 / 0.158 = -2.215 $$

source: http://en.wikipedia.org/wiki/Student's_t-test#Equal_or_Unequal_sample_sizes.2C_unequal_variances

Ben Ishak
  • 103
  • 2
  • This unfortunately is incorrect. The duplicate question shows how to combine the SDs into a pooled SD, because their *squares* are variances and that thread concerns combining variances. – whuber Dec 01 '13 at 21:57
  • i still not sure if my solution was correct, but the thread that you sepposed is not the same as my problem, as he has 2 matrices with all values $(x_{i}, y_{i})$ but i have only the SDs and the means – Ben Ishak Dec 02 '13 at 17:10
  • Your problem is *identical* to that one, but happens to be much simpler: the squares of your SDs are one-by-one covariance matrices and your means are the means of vectors of dimension 1. – whuber Dec 02 '13 at 17:12
  • [this][1] what i was looking for [1] = http://en.wikipedia.org/wiki/Student's_t-test#Equal_or_Unequal_sample_sizes.2C_unequal_variances – Ben Ishak Jan 18 '14 at 14:44