1. It is a specific numerical value estimate of a parameter.

2. How many different samples of size n can be drawn from the finite population of size N if N = 10, and n = 2?

3. A decision-making process for evaluating claims about a population.

4. What is the tabular value if n = 29 at 0.05 significant level?

5. A type of hypothesis states that there is no difference between the parameter and a specific value.

6. The maximum probability of committing a type I error.

7. Values selected from the table for the appropriate test.

8. Range of values of the test value that indicate that there is a significant difference and that the null hypothesis should be rejected.

9 – 10. Given by a finite population 4, 6, 8, and 9: 9. The mean of the population is?

9 – 10. Given by a finite population 4, 6, 8, and 9: 10. The variance of the population is?

11 – 14. A simple random sample of 60 items from the population with standard deviation of 12 and a sample mean of 83.      11. What is the standard error of the mean?

11 – 14. A simple random sample of 60 items from the population with standard deviation of 12 and a sample mean of 83.        12. Two tailed tests at 90% confidence level, what is the margin of error?

11 – 14. A simple random sample of 60 items from the population with standard deviation of 12 and a sample mean of 83.       13. At two tailed tests, determine the 95% confidence interval for the population mean?

11 – 14. A simple random sample of 60 items from the population with standard deviation of 12 and a sample mean of 83.       14. At two tailed tests, determine the 99% confidence interval for the population mean?

15. It is an inference about the population parameter.

16. The P – value of z = 1.23 is?

17 – 18. A simple random sample of 28 items from the population with standard deviation of 6 and a sample mean of 43. 17. Find the degrees of freedom

17 – 18. A simple random sample of 28 items from the population with standard deviation of 6 and a sample mean of 43. 18. Find the tabular value at α = 0.10.

19. The difference between the sample measure of the corresponding population measures due to the fact that the sample is not a perfect representation of the population.

20. Consists of the values a random variable can assume and the corresponding probabilities of the values.

21.   It is a collection of methods for planning experiments, obtaining data, obtaining data, and then analyzing, interpreting, and drawing conclusions based on the data.

22. Set of values that the variables can assume?

23. A collection of observations produced by sorting them into classes and showing their number of occurrences in each class.

24. How many different samples of size n can be drawn from the finite population of size N if N = 20, and n = 8?

25. The graph that displays the data by using vertical bars of various heights to represents the frequencies.

26. A subset of the population denoted by “n”.

27. The P – value of -2.13 < z > 2.13 is?

28. How many different samples of size 3 can be drawn from the finite population of size if N is 100?

29. The graph that displays the data by using lines that connect the lines plotted for the frequencies at the midpoint of the classes.

30. Find the mean of the population of 1,2,3, 7,8?

31. A type of hypothesis states a specific difference between the parameter and a specific value.

32. The standard deviation of the population {6, 7,8, 9, 10, 11} is?

33. Interval or range of values used to estimate the parameter.

34. What is the z – score when the normal distribution has µ = 43, ס = 5.2, n = 16 and a sample mean of 46.5?

35. The number of values that are free to vary after the sample statistic has been computed.

36.   What is the z – score when the normal distribution has µ = 48, ס = 5.5, n = 35 and a sample mean of 46.5?

37.     It is the standard deviation of the sample mean.

38. What is the df of the data {6,10,12,18,22}?

39. What is the mean of the data {6,10,14,18,22,26}?

40. The variance of the data {10,15,20,25) is?