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Silverfish
Silverfish
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Do I need to calculate type 2 error if a result is significant

Suppose I created a null hypothesis and calculated the p-value and it turned out to be less than the significance level. So, I reject the null hypothesis. In this case I get the type one error to be the significance level  .

My question is Dowhether I need to worry about type two error since I am already rejecting the null hypothesis so there isn't any chance of failing to reject it given the null is false?

Do I need to calculate type 2 error

Suppose I created a null hypothesis and calculated the p-value and it turned out to be less than the significance level. So, I reject the null hypothesis. In this case I get the type one error to be the significance level  .

My question is Do I need to worry about type two error since I am already rejecting the null hypothesis so there isn't any chance of failing to reject it given the null is false?

Do I need to calculate type 2 error if a result is significant

Suppose I created a null hypothesis and calculated the p-value and it turned out to be less than the significance level. So, I reject the null hypothesis. In this case I get the type one error to be the significance level.

My question is whether I need to worry about type two error since I am already rejecting the null hypothesis so there isn't any chance of failing to reject it given the null is false?

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user132338
user132338
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Do I need to calculate type 2 error

Suppose I created a null hypothesis and calculated the p-value and it turned out to be less than the significance level. So, I reject the null hypothesis. In this case I get the type one error to be the significance level .

My question is Do I need to worry about type two error since I am already rejecting the null hypothesis so there isn't any chance of failing to reject it given the null is false?