Question 1192041
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Let's say we get a p-value of 0.07


At the alpha = 0.10 level, we would reject the null since the p-value is smaller than alpha.


However, at the alpha = 0.05 level, we don't reject the null since now the p-value is larger than alpha.


This example shows that lowering the alpha will make it harder to reject the null. This is when we fix the p-value to some constant.


Recall that alpha represents the probability of a type I error. This is the error that happens when you reject the null, but it turns out the null was true. 
Reducing the type I error means that it's harder to reject the null and we'd need more stringent proof (in the form of a smaller p-value) to be able to reject the null. 
The downside to this of course is when the alternative hypothesis is true and instead you commit a type II error. 



Answers:
<font color=red>Choice B
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Choice G</font>
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