Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A simple two-sample Bayesian t-test for hypothesis testing   In this paper, we propose an explicit closed-form Bayes factor for the
problem of two-sample hypothesis testing. The proposed approach can be regarded
as a Bayesian version of the pooled-variance t-statistic and has various
appealing properties in practical applications. It relies on data only through
the t-statistic and can thus be calculated by using an Excel spreadsheet or a
pocket calculator. It avoids several undesirable paradoxes, which may be
encountered by the previous Bayesian approach of Gonen et al. (2005).
Specifically, the proposed approach can be easily taught in an introductory
statistics course with an emphasis on Bayesian thinking. Simulated and real
data examples are provided for illustrative purposes.

24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg