Respuesta :
1.)A significance level of 10% means that there is a 10% probability of rejecting the null hypothesis incorrectly.
2.) the significance level determines the critical region of the hypothesis test
2.) the significance level determines the critical region of the hypothesis test
Answer:
A significance level of 10% i.e.0.10 represents the chance of rejecting the null hypothesis
Step-by-step explanation:
Given :A hypothesis test has a significance level of 10%.
To Find :Explain what this significance level represents.
Solution :
Definition : The significance level is the probability of rejecting the null hypothesis when it is true.
So, significance level = 10%.
This means there is a 0.10 chance of rejecting the null hypothesis
Hence a significance level of 10% i.e.0.10 represents the chance of rejecting the null hypothesis