Step 1

When a researcher incorrectly rejects the null hypothesis or incorrectly finds the statistical significance, then this type of error is termed as type 1 error. Type 1 error is the rejection of true null hypothesis.

Step 2

The probability of committing a type I error is represented by our alpha level \((\alpha)\), which is the p-value below which we reject the null hypothesis. A p-value of 0.10 indicates that we are willing to accept a 10% chance that we are incorrectly rejecting the null hypothesis.

Hence we expect 10% of the hypothesis tests to incorrectly find statistical significance.

When a researcher incorrectly rejects the null hypothesis or incorrectly finds the statistical significance, then this type of error is termed as type 1 error. Type 1 error is the rejection of true null hypothesis.

Step 2

The probability of committing a type I error is represented by our alpha level \((\alpha)\), which is the p-value below which we reject the null hypothesis. A p-value of 0.10 indicates that we are willing to accept a 10% chance that we are incorrectly rejecting the null hypothesis.

Hence we expect 10% of the hypothesis tests to incorrectly find statistical significance.