Question

5. An interval of numbers within which the parameter value is believed to fall.

6. A number such that we reject Ho if the p-value is less than or equal to that number.

7. The numerical value obtained from a statistical test.

8. A statistical statement that says a difference between the parameter and a specific value

   exists or states that there is a difference between two parameters.

9. The error that occurs if you reject the null hypothesis when it is true.

10. The actual probability of getting the sample mean value if the null hypothesis is true.

DOWN

1. A specific interval estimate of a parameter determined by using data obtained from a

   sample and the specific confidence level of the estimate.

2. A statistical statement that states there is no difference between a parameter and a

   specific value or that there is no difference between two parameters.

3. The error that occurs if you do not reject the null hypothesis when it is false.

4. A specific numerical value estimate of a parameter.

Answer 1

1. Confidence interval

2. Level of significance

3. Calculated value of test statistic

4. Alternative hypothesia

5. Type I error