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Update README
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ptfonseca committed Jul 3, 2020
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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -66,7 +66,7 @@ pv <- chisq.test(x)[["p.value"]]
pv
```

In classical hypothesis testing, if the typical 0.05 significance is used then this p-value slightly below 0.05 would result in the rejection of the null hypothesis.
In classical hypothesis testing, if the typical 0.05 significance threshold is used then this p-value slightly below 0.05 would result in the rejection of the null hypothesis.

With `bcal()` we can turn `pv` into a lower bound for the Bayes factor in favor of the null hypothesis:

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -81,9 +81,9 @@ pv
#> [1] 0.04377308
```

In classical hypothesis testing, if the typical 0.05 significance is
used then this p-value slightly below 0.05 would result in the rejection
of the null hypothesis.
In classical hypothesis testing, if the typical 0.05 significance
threshold is used then this p-value slightly below 0.05 would result in
the rejection of the null hypothesis.

With `bcal()` we can turn `pv` into a lower bound for the Bayes factor
in favor of the null hypothesis:
Expand Down

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