# Not p-Values, Said a Little Bit Differently

## Abstract

**:**

## 1. Introduction

## 2. The General Problem

## 3. A Simple Example of the Problem

## 4. Summary

## Funding

## Acknowledgments

## Conflicts of Interest

## References

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1 | See also Trafimow (2015) and Trafimow and Marks (2015). Trafimow offers a bit of history and explanations that are suitable for students at https://www.youtube.com/watch?v=dsp_hSIsacQ. |

2 | Robinson and Wainer (2002) take a more sanguine view of the possible damage of conflating the Fisherian and Neyman–Pearson approaches than does Hubbard and Bayarri (2003). |

3 | A dedicated Bayesian might point out that in the presence of prior information, a relatively non-informative prior would not be appropriate. An informative prior might lead to $P\left(\mu =0.5|H,n\right)$, either closer to the p-value or farther away. |

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**MDPI and ACS Style**

Startz, R.
Not *p*-Values, Said a Little Bit Differently. *Econometrics* **2019**, *7*, 11.
https://doi.org/10.3390/econometrics7010011

**AMA Style**

Startz R.
Not *p*-Values, Said a Little Bit Differently. *Econometrics*. 2019; 7(1):11.
https://doi.org/10.3390/econometrics7010011

**Chicago/Turabian Style**

Startz, Richard.
2019. "Not *p*-Values, Said a Little Bit Differently" *Econometrics* 7, no. 1: 11.
https://doi.org/10.3390/econometrics7010011