A scientist sets the significance level at $0.10$ for a hypothesis test. What does this imply about the likelihood of rejecting the null hypothesis when it is actually true?

There is a $10\%$ chance of making a Type I error

There is a $10\%$ chance of making a Type II error

There is a $90\%$ chance of making a Type I error

There is a $1\%$ chance of making a Type I error