Different null hypotheses lead to conflicting conclusions in statistical parameter testing.
The article discusses how choosing different null hypotheses in statistical tests can lead to different conclusions about parameters. The researchers analyze the impact of this choice on parameter significance testing and suggest principles for selecting the null hypothesis.