(a) What is a null hypothesis H.? A working hypothesis making a claim about the population parameter in question. O Any hypothesis that differs from the original claim being made. O A specific hypothesis where the claim is that the population parameter does not equal 0. O A specific hypothesis where the claim is that the population parameter is equal to 0. (b) What is an alternate hypothesis H? A specific hypothesis where the claim is that the population parameter does not equal o. Any hypothesis that differs from the original claim being made. A specific hypothesis where the claim is that the population parameter is equal to 0. O A working hypothesis making a claim about the population parameter in question. (c) What is a type I error? Type I error is rejecting the null hypothesis when it is false. Type I error is failing to reject the null hypothesis when it is false, O Type I error is rejecting the null hypothesis when it is true. Type I error is failing to reject the null hypothesis when it is true. X What is a type II error? Type II error is rejecting the null hypothesis when it is false. Type II error is failing to reject the null hypothesis when it is false. Type II error is rejecting the null hypothesis when it is true, Type II error is failing to reject the null hypothesis when it is true. (d) What is the level of significance of a test? The probability of a type I error O The probability of a type II error. What is the probability of a type Il error? 1